White/Caucasian vs Immigrants from Hungary Community Comparison

The statistical analysis conducted on geographies consisting of 195,711,705 people shows a substantial positive correlation between the proportion of Immigrants from Hungary within White/Caucasian communities in the United States with a correlation coefficient (R) of 0.512. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is an increase of 0.002% in Immigrants from Hungary. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to an increase of 1.7 Immigrants from Hungary.

When considering income, the most significant differences between White/Caucasian and Immigrants from Hungary communities in the United States are seen in per capita income ($42,180 compared to $49,303, a difference of 16.9%), median household income ($82,029 compared to $92,094, a difference of 12.3%), and householder income ages 25 - 44 years ($91,668 compared to $102,655, a difference of 12.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,336 compared to $52,798, a difference of 4.9%), wage/income gap (28.5% compared to 27.0%, a difference of 5.5%), and householder income over 65 years ($58,847 compared to $64,277, a difference of 9.2%).

When considering poverty, the most significant differences between White/Caucasian and Immigrants from Hungary communities in the United States are seen in single male poverty (14.5% compared to 12.6%, a difference of 14.6%), single father poverty (18.4% compared to 16.1%, a difference of 14.3%), and female poverty among 25-34 year olds (14.7% compared to 13.0%, a difference of 13.1%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.8% compared to 4.9%, a difference of 1.7%), seniors poverty over the age of 75 (11.4% compared to 11.8%, a difference of 3.4%), and seniors poverty over the age of 65 (10.0% compared to 10.4%, a difference of 3.8%).

When considering unemployment, the most significant differences between White/Caucasian and Immigrants from Hungary communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 7.7%, a difference of 30.6%), unemployment among women with children under 6 years (8.4% compared to 7.1%, a difference of 17.3%), and unemployment among women with children ages 6 to 17 years (9.6% compared to 8.9%, a difference of 8.2%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.1% compared to 10.0%, a difference of 0.77%), unemployment among ages 35 to 44 years (4.6% compared to 4.6%, a difference of 1.0%), and unemployment among youth under 25 years (11.2% compared to 11.4%, a difference of 1.7%).

When considering labor participation, the most significant differences between White/Caucasian and Immigrants from Hungary communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 36.2%, a difference of 14.2%), in labor force | age 20-24 (76.9% compared to 74.9%, a difference of 2.7%), and in labor force | age > 16 (63.6% compared to 64.5%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.2% compared to 84.8%, a difference of 0.77%), in labor force | age 35-44 (83.6% compared to 84.4%, a difference of 0.93%), and in labor force | age 45-54 (81.9% compared to 82.7%, a difference of 0.99%).

When considering family structure, the most significant differences between White/Caucasian and Immigrants from Hungary communities in the United States are seen in single father households (2.4% compared to 2.1%, a difference of 13.9%), births to unmarried women (33.3% compared to 29.7%, a difference of 11.8%), and single mother households (6.1% compared to 5.7%, a difference of 7.9%). Conversely, both communities are more comparable in terms of average family size (3.14 compared to 3.17, a difference of 0.77%), currently married (48.6% compared to 47.6%, a difference of 2.0%), and family households (65.1% compared to 63.6%, a difference of 2.3%).

When considering vehicle availability, the most significant differences between White/Caucasian and Immigrants from Hungary communities in the United States are seen in no vehicles in household (7.0% compared to 11.1%, a difference of 57.7%), 4 or more vehicles in household (7.4% compared to 5.8%, a difference of 26.1%), and 3 or more vehicles in household (22.6% compared to 18.5%, a difference of 22.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 89.0%, a difference of 4.6%), 2 or more vehicles in household (60.8% compared to 54.2%, a difference of 12.2%), and 3 or more vehicles in household (22.6% compared to 18.5%, a difference of 22.4%).

When considering education level, the most significant differences between White/Caucasian and Immigrants from Hungary communities in the United States are seen in professional degree (4.1% compared to 5.5%, a difference of 33.9%), doctorate degree (1.8% compared to 2.2%, a difference of 27.9%), and master's degree (13.8% compared to 17.5%, a difference of 27.0%). Conversely, both communities are more comparable in terms of 11th grade (93.3% compared to 93.4%, a difference of 0.010%), high school diploma (90.1% compared to 90.2%, a difference of 0.13%), and 10th grade (94.7% compared to 94.4%, a difference of 0.29%).

When considering disability, the most significant differences between White/Caucasian and Immigrants from Hungary communities in the United States are seen in disability age under 5 (1.7% compared to 1.4%, a difference of 21.2%), disability age 35 to 64 (12.6% compared to 10.4%, a difference of 21.0%), and hearing disability (3.7% compared to 3.1%, a difference of 17.6%). Conversely, both communities are more comparable in terms of cognitive disability (17.0% compared to 16.7%, a difference of 1.8%), disability age over 75 (47.3% compared to 46.1%, a difference of 2.7%), and self-care disability (2.6% compared to 2.4%, a difference of 6.4%).