Immigrants from Hungary vs Immigrants from Australia Community Comparison

The statistical analysis conducted on geographies consisting of 133,415,280 people shows a significant positive correlation between the proportion of Immigrants from Australia within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.631. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.748% in Immigrants from Australia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 747.8 Immigrants from Australia.

When considering income, the most significant differences between Immigrants from Hungary and Immigrants from Australia communities in the United States are seen in per capita income ($49,303 compared to $57,953, a difference of 17.5%), median family income ($111,378 compared to $126,620, a difference of 13.7%), and median male earnings ($59,806 compared to $67,634, a difference of 13.1%). Conversely, both communities are more comparable in terms of wage/income gap (27.0% compared to 28.2%, a difference of 4.4%), householder income under 25 years ($52,798 compared to $56,660, a difference of 7.3%), and householder income over 65 years ($64,277 compared to $69,164, a difference of 7.6%).

When considering poverty, the most significant differences between Immigrants from Hungary and Immigrants from Australia communities in the United States are seen in child poverty under the age of 16 (15.5% compared to 13.6%, a difference of 13.4%), receiving food stamps (10.3% compared to 9.2%, a difference of 13.0%), and child poverty among girls under 16 (15.8% compared to 14.0%, a difference of 12.8%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.4% compared to 10.5%, a difference of 0.84%), single father poverty (16.1% compared to 15.7%, a difference of 2.2%), and single male poverty (12.6% compared to 12.2%, a difference of 3.6%).

When considering unemployment, the most significant differences between Immigrants from Hungary and Immigrants from Australia communities in the United States are seen in unemployment among women with children under 18 years (5.5% compared to 5.1%, a difference of 7.2%), unemployment among women with children ages 6 to 17 years (8.9% compared to 8.3%, a difference of 7.1%), and unemployment among women with children under 6 years (7.1% compared to 6.8%, a difference of 5.6%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.070%), unemployment among ages 16 to 19 years (17.5% compared to 17.7%, a difference of 0.67%), and unemployment among ages 20 to 24 years (10.0% compared to 9.9%, a difference of 1.4%).

When considering labor participation, the most significant differences between Immigrants from Hungary and Immigrants from Australia communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 35.1%, a difference of 3.1%), in labor force | age > 16 (64.5% compared to 65.9%, a difference of 2.1%), and in labor force | age 20-64 (79.5% compared to 80.0%, a difference of 0.72%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (82.7% compared to 82.9%, a difference of 0.28%), in labor force | age 20-24 (74.9% compared to 74.6%, a difference of 0.42%), and in labor force | age 35-44 (84.4% compared to 84.8%, a difference of 0.43%).

When considering family structure, the most significant differences between Immigrants from Hungary and Immigrants from Australia communities in the United States are seen in births to unmarried women (29.7% compared to 26.6%, a difference of 11.7%), single mother households (5.7% compared to 5.1%, a difference of 11.2%), and single father households (2.1% compared to 2.0%, a difference of 6.1%). Conversely, both communities are more comparable in terms of currently married (47.6% compared to 47.3%, a difference of 0.80%), average family size (3.17 compared to 3.13, a difference of 1.4%), and married-couple households (47.3% compared to 46.5%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Immigrants from Australia communities in the United States are seen in no vehicles in household (11.1% compared to 13.8%, a difference of 24.6%), 2 or more vehicles in household (54.2% compared to 52.4%, a difference of 3.4%), and 1 or more vehicles in household (89.0% compared to 86.4%, a difference of 3.0%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (5.8% compared to 5.8%, a difference of 0.51%), 3 or more vehicles in household (18.5% compared to 18.1%, a difference of 2.1%), and 1 or more vehicles in household (89.0% compared to 86.4%, a difference of 3.0%).

When considering education level, the most significant differences between Immigrants from Hungary and Immigrants from Australia communities in the United States are seen in professional degree (5.5% compared to 6.9%, a difference of 26.5%), doctorate degree (2.2% compared to 2.8%, a difference of 24.7%), and master's degree (17.5% compared to 20.9%, a difference of 19.0%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 98.3%, a difference of 0.18%), kindergarten (98.1% compared to 98.3%, a difference of 0.19%), and 1st grade (98.1% compared to 98.3%, a difference of 0.19%).

When considering disability, the most significant differences between Immigrants from Hungary and Immigrants from Australia communities in the United States are seen in disability age under 5 (1.4% compared to 1.2%, a difference of 18.0%), ambulatory disability (6.0% compared to 5.5%, a difference of 9.7%), and disability age 5 to 17 (5.5% compared to 5.0%, a difference of 8.9%). Conversely, both communities are more comparable in terms of disability age over 75 (46.1% compared to 45.5%, a difference of 1.3%), cognitive disability (16.7% compared to 17.1%, a difference of 2.8%), and disability age 65 to 74 (21.7% compared to 21.0%, a difference of 3.5%).