Nonimmigrants vs Hungarian Community Comparison

The statistical analysis conducted on geographies consisting of 486,271,111 people shows a very strong positive correlation between the proportion of Hungarians within Nonimmigrant communities in the United States with a correlation coefficient (R) of 0.821. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is an increase of 0.007% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to an increase of 6.5 Hungarians.

When considering income, the most significant differences between Nonimmigrants and Hungarian communities in the United States are seen in per capita income ($40,669 compared to $45,426, a difference of 11.7%), householder income ages 25 - 44 years ($88,301 compared to $97,544, a difference of 10.5%), and householder income ages 45 - 64 years ($94,448 compared to $103,913, a difference of 10.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,348 compared to $50,247, a difference of 1.8%), median female earnings ($37,024 compared to $39,510, a difference of 6.7%), and wage/income gap (27.2% compared to 29.0%, a difference of 6.8%).

When considering poverty, the most significant differences between Nonimmigrants and Hungarian communities in the United States are seen in receiving food stamps (12.4% compared to 11.0%, a difference of 12.2%), seniors poverty over the age of 65 (10.9% compared to 9.7%, a difference of 12.2%), and single female poverty (23.6% compared to 21.1%, a difference of 11.6%). Conversely, both communities are more comparable in terms of married-couple family poverty (5.3% compared to 5.3%, a difference of 0.13%), single father poverty (18.8% compared to 18.5%, a difference of 2.1%), and single male poverty (14.6% compared to 13.8%, a difference of 5.7%).

When considering unemployment, the most significant differences between Nonimmigrants and Hungarian communities in the United States are seen in unemployment among women with children under 6 years (8.8% compared to 7.8%, a difference of 13.3%), unemployment among ages 30 to 34 years (6.1% compared to 5.5%, a difference of 10.3%), and unemployment among women with children under 18 years (5.7% compared to 5.3%, a difference of 7.6%). 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 0.14%), unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.56%), and unemployment among ages 65 to 74 years (5.4% compared to 5.5%, a difference of 1.9%).

When considering labor participation, the most significant differences between Nonimmigrants and Hungarian communities in the United States are seen in in labor force | age 45-54 (81.2% compared to 82.7%, a difference of 1.8%), in labor force | age 20-64 (78.1% compared to 79.2%, a difference of 1.4%), and in labor force | age 35-44 (83.2% compared to 84.2%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.2% compared to 76.3%, a difference of 0.11%), in labor force | age > 16 (63.5% compared to 63.8%, a difference of 0.50%), and in labor force | age 16-19 (40.1% compared to 39.8%, a difference of 0.62%).

When considering family structure, the most significant differences between Nonimmigrants and Hungarian communities in the United States are seen in single mother households (6.7% compared to 5.7%, a difference of 17.8%), births to unmarried women (35.5% compared to 31.2%, a difference of 13.7%), and single father households (2.4% compared to 2.2%, a difference of 12.6%). Conversely, both communities are more comparable in terms of family households (64.8% compared to 64.9%, a difference of 0.18%), average family size (3.19 compared to 3.18, a difference of 0.32%), and family households with children (27.5% compared to 27.6%, a difference of 0.34%).

When considering vehicle availability, the most significant differences between Nonimmigrants and Hungarian communities in the United States are seen in no vehicles in household (7.9% compared to 9.9%, a difference of 25.5%), 4 or more vehicles in household (7.2% compared to 6.4%, a difference of 12.9%), and 3 or more vehicles in household (21.8% compared to 19.8%, a difference of 9.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.2% compared to 90.3%, a difference of 2.1%), 2 or more vehicles in household (58.8% compared to 56.5%, a difference of 4.0%), and 3 or more vehicles in household (21.8% compared to 19.8%, a difference of 9.8%).

When considering education level, the most significant differences between Nonimmigrants and Hungarian communities in the United States are seen in professional degree (3.9% compared to 4.6%, a difference of 18.9%), master's degree (13.3% compared to 15.6%, a difference of 16.7%), and doctorate degree (1.7% compared to 1.9%, a difference of 13.1%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 98.5%, a difference of 0.20%), kindergarten (98.3% compared to 98.5%, a difference of 0.20%), and 1st grade (98.2% compared to 98.4%, a difference of 0.20%).

When considering disability, the most significant differences between Nonimmigrants and Hungarian communities in the United States are seen in vision disability (2.5% compared to 2.1%, a difference of 15.8%), disability age 35 to 64 (13.0% compared to 11.4%, a difference of 14.3%), and disability age 65 to 74 (25.0% compared to 22.4%, a difference of 11.5%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 46.5%, a difference of 3.2%), disability age under 5 (1.6% compared to 1.5%, a difference of 3.7%), and cognitive disability (17.4% compared to 16.5%, a difference of 5.6%).