Immigrants from Hungary vs Immigrants from Asia Community Comparison

The statistical analysis conducted on geographies consisting of 195,280,636 people shows a slight negative correlation between the proportion of Immigrants from Asia within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of -0.059. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is a decrease of 0.144% in Immigrants from Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to a decrease of 143.7 Immigrants from Asia.

When considering income, the most significant differences between Immigrants from Hungary and Immigrants from Asia communities in the United States are seen in median household income ($92,094 compared to $99,933, a difference of 8.5%), householder income ages 25 - 44 years ($102,655 compared to $110,787, a difference of 7.9%), and householder income ages 45 - 64 years ($108,267 compared to $116,566, a difference of 7.7%). Conversely, both communities are more comparable in terms of wage/income gap (27.0% compared to 27.0%, a difference of 0.22%), per capita income ($49,303 compared to $49,741, a difference of 0.89%), and householder income over 65 years ($64,277 compared to $67,594, a difference of 5.2%).

When considering poverty, the most significant differences between Immigrants from Hungary and Immigrants from Asia communities in the United States are seen in child poverty under the age of 5 (16.5% compared to 14.4%, a difference of 14.5%), child poverty among boys under 16 (15.7% compared to 13.9%, a difference of 12.4%), and child poverty among girls under 16 (15.8% compared to 14.1%, a difference of 12.2%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.9% compared to 4.8%, a difference of 1.3%), seniors poverty over the age of 65 (10.4% compared to 10.6%, a difference of 1.5%), and seniors poverty over the age of 75 (11.8% compared to 12.2%, a difference of 3.3%).

When considering unemployment, the most significant differences between Immigrants from Hungary and Immigrants from Asia communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.9% compared to 8.1%, a difference of 10.3%), unemployment among seniors over 75 years (7.7% compared to 8.3%, a difference of 8.0%), and unemployment among women with children under 18 years (5.5% compared to 5.1%, a difference of 6.6%). Conversely, both communities are more comparable in terms of unemployment (5.1% compared to 5.1%, a difference of 0.44%), unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.94%), and unemployment among youth under 25 years (11.4% compared to 11.5%, a difference of 1.2%).

When considering labor participation, the most significant differences between Immigrants from Hungary and Immigrants from Asia communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 34.1%, a difference of 6.0%), in labor force | age > 16 (64.5% compared to 66.1%, a difference of 2.5%), and in labor force | age 20-24 (74.9% compared to 73.6%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.8%, a difference of 0.080%), in labor force | age 30-34 (85.1% compared to 85.0%, a difference of 0.14%), and in labor force | age 35-44 (84.4% compared to 84.5%, a difference of 0.15%).

When considering family structure, the most significant differences between Immigrants from Hungary and Immigrants from Asia communities in the United States are seen in divorced or separated (11.9% compared to 10.7%, a difference of 11.3%), births to unmarried women (29.7% compared to 26.8%, a difference of 11.0%), and family households with children (26.7% compared to 28.8%, a difference of 8.1%). Conversely, both communities are more comparable in terms of single father households (2.1% compared to 2.1%, a difference of 0.57%), single mother households (5.7% compared to 5.6%, a difference of 0.99%), and currently married (47.6% compared to 48.3%, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Immigrants from Asia communities in the United States are seen in 4 or more vehicles in household (5.8% compared to 6.8%, a difference of 16.1%), 3 or more vehicles in household (18.5% compared to 20.2%, a difference of 9.7%), and 2 or more vehicles in household (54.2% compared to 56.3%, a difference of 3.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 89.3%, a difference of 0.31%), no vehicles in household (11.1% compared to 10.9%, a difference of 2.1%), and 2 or more vehicles in household (54.2% compared to 56.3%, a difference of 3.9%).

When considering education level, the most significant differences between Immigrants from Hungary and Immigrants from Asia communities in the United States are seen in no schooling completed (1.9% compared to 2.4%, a difference of 25.7%), doctorate degree (2.2% compared to 2.4%, a difference of 8.0%), and master's degree (17.5% compared to 18.4%, a difference of 5.0%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.6%, a difference of 0.54%), kindergarten (98.1% compared to 97.6%, a difference of 0.54%), and 1st grade (98.1% compared to 97.5%, a difference of 0.55%).

When considering disability, the most significant differences between Immigrants from Hungary and Immigrants from Asia communities in the United States are seen in disability age under 5 (1.4% compared to 1.1%, a difference of 29.0%), hearing disability (3.1% compared to 2.7%, a difference of 14.1%), and disability age 5 to 17 (5.5% compared to 4.8%, a difference of 12.6%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.8%, a difference of 0.71%), disability age 65 to 74 (21.7% compared to 21.5%, a difference of 0.85%), and self-care disability (2.4% compared to 2.4%, a difference of 1.6%).