Hungarian vs Immigrants from South Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 456,707,582 people shows a substantial negative correlation between the proportion of Immigrants from South Eastern Asia within Hungarian communities in the United States with a correlation coefficient (R) of -0.554. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is a decrease of 0.031% in Immigrants from South Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to a decrease of 30.9 Immigrants from South Eastern Asia.

When considering income, the most significant differences between Hungarian and Immigrants from South Eastern Asia communities in the United States are seen in wage/income gap (29.0% compared to 24.8%, a difference of 17.0%), householder income under 25 years ($50,247 compared to $55,714, a difference of 10.9%), and median household income ($86,920 compared to $91,541, a difference of 5.3%). Conversely, both communities are more comparable in terms of median earnings ($47,795 compared to $47,671, a difference of 0.26%), median family income ($105,609 compared to $106,252, a difference of 0.61%), and householder income ages 45 - 64 years ($103,913 compared to $106,109, a difference of 2.1%).

When considering poverty, the most significant differences between Hungarian and Immigrants from South Eastern Asia communities in the United States are seen in single father poverty (18.5% compared to 14.4%, a difference of 28.6%), single male poverty (13.8% compared to 11.4%, a difference of 20.5%), and child poverty under the age of 5 (17.9% compared to 15.7%, a difference of 14.2%). Conversely, both communities are more comparable in terms of receiving food stamps (11.0% compared to 11.1%, a difference of 0.50%), family poverty (8.8% compared to 8.5%, a difference of 3.0%), and female poverty (13.2% compared to 12.7%, a difference of 3.4%).

When considering unemployment, the most significant differences between Hungarian and Immigrants from South Eastern Asia communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.5%, a difference of 18.2%), unemployment among women with children ages 6 to 17 years (9.3% compared to 8.2%, a difference of 13.1%), and unemployment among women with children under 6 years (7.8% compared to 7.2%, a difference of 8.8%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.1% compared to 17.1%, a difference of 0.14%), unemployment among ages 20 to 24 years (10.2% compared to 10.1%, a difference of 0.55%), and unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.59%).

When considering labor participation, the most significant differences between Hungarian and Immigrants from South Eastern Asia communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 35.6%, a difference of 11.9%), in labor force | age > 16 (63.8% compared to 65.9%, a difference of 3.2%), and in labor force | age 20-24 (76.3% compared to 75.1%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.2% compared to 84.2%, a difference of 0.040%), in labor force | age 45-54 (82.7% compared to 82.8%, a difference of 0.17%), and in labor force | age 30-34 (84.5% compared to 84.7%, a difference of 0.23%).

When considering family structure, the most significant differences between Hungarian and Immigrants from South Eastern Asia communities in the United States are seen in single mother households (5.7% compared to 6.3%, a difference of 11.0%), single father households (2.2% compared to 2.4%, a difference of 10.9%), and average family size (3.18 compared to 3.36, a difference of 5.7%). Conversely, both communities are more comparable in terms of married-couple households (49.1% compared to 48.4%, a difference of 1.4%), births to unmarried women (31.2% compared to 30.4%, a difference of 2.9%), and currently married (48.8% compared to 47.1%, a difference of 3.8%).

When considering vehicle availability, the most significant differences between Hungarian and Immigrants from South Eastern Asia communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 8.2%, a difference of 28.6%), 3 or more vehicles in household (19.8% compared to 23.1%, a difference of 16.5%), and no vehicles in household (9.9% compared to 8.6%, a difference of 15.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 91.4%, a difference of 1.2%), 2 or more vehicles in household (56.5% compared to 59.6%, a difference of 5.5%), and no vehicles in household (9.9% compared to 8.6%, a difference of 15.3%).

When considering education level, the most significant differences between Hungarian and Immigrants from South Eastern Asia communities in the United States are seen in no schooling completed (1.6% compared to 2.9%, a difference of 81.9%), professional degree (4.6% compared to 4.0%, a difference of 14.9%), and master's degree (15.6% compared to 14.0%, a difference of 11.4%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 97.1%, a difference of 1.4%), kindergarten (98.5% compared to 97.1%, a difference of 1.4%), and 1st grade (98.4% compared to 97.1%, a difference of 1.4%).

When considering disability, the most significant differences between Hungarian and Immigrants from South Eastern Asia communities in the United States are seen in disability age under 5 (1.5% compared to 1.1%, a difference of 35.0%), hearing disability (3.4% compared to 3.0%, a difference of 14.4%), and disability age 18 to 34 (7.1% compared to 6.3%, a difference of 13.8%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 1.8%), self-care disability (2.5% compared to 2.5%, a difference of 2.1%), and cognitive disability (16.5% compared to 17.0%, a difference of 3.4%).