Immigrants from Hungary vs Northern European Community Comparison

The statistical analysis conducted on geographies consisting of 173,988,312 people shows a mild positive correlation between the proportion of Northern Europeans within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.350. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.116% in Northern Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 115.9 Northern Europeans.

When considering income, the most significant differences between Immigrants from Hungary and Northern European communities in the United States are seen in wage/income gap (27.0% compared to 28.3%, a difference of 4.7%), per capita income ($49,303 compared to $47,698, a difference of 3.4%), and median female earnings ($41,820 compared to $40,491, a difference of 3.3%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($108,267 compared to $107,870, a difference of 0.37%), householder income over 65 years ($64,277 compared to $64,658, a difference of 0.59%), and median family income ($111,378 compared to $110,635, a difference of 0.67%).

When considering poverty, the most significant differences between Immigrants from Hungary and Northern European communities in the United States are seen in married-couple family poverty (4.9% compared to 4.3%, a difference of 15.2%), seniors poverty over the age of 65 (10.4% compared to 9.4%, a difference of 10.8%), and seniors poverty over the age of 75 (11.8% compared to 10.7%, a difference of 10.6%). Conversely, both communities are more comparable in terms of single mother poverty (28.9% compared to 28.6%, a difference of 0.75%), single father poverty (16.1% compared to 16.3%, a difference of 1.3%), and female poverty among 25-34 year olds (13.0% compared to 13.2%, a difference of 2.1%).

When considering unemployment, the most significant differences between Immigrants from Hungary and Northern European communities in the United States are seen in unemployment among seniors over 75 years (7.7% compared to 9.1%, a difference of 18.0%), unemployment among women with children under 18 years (5.5% compared to 5.0%, a difference of 8.8%), and unemployment among ages 45 to 54 years (4.5% compared to 4.2%, a difference of 7.6%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.1%, a difference of 0.20%), unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.54%), and unemployment among seniors over 65 years (5.0% compared to 4.9%, a difference of 1.5%).

When considering labor participation, the most significant differences between Immigrants from Hungary and Northern European communities in the United States are seen in in labor force | age 16-19 (36.2% compared to 40.2%, a difference of 11.3%), in labor force | age 20-24 (74.9% compared to 76.8%, a difference of 2.5%), and in labor force | age 30-34 (85.1% compared to 84.8%, a difference of 0.36%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.5% compared to 79.5%, a difference of 0.020%), in labor force | age 25-29 (84.8% compared to 84.9%, a difference of 0.060%), and in labor force | age 45-54 (82.7% compared to 82.7%, a difference of 0.090%).

When considering family structure, the most significant differences between Immigrants from Hungary and Northern European communities in the United States are seen in single father households (2.1% compared to 2.2%, a difference of 7.0%), births to unmarried women (29.7% compared to 30.6%, a difference of 2.8%), and divorced or separated (11.9% compared to 12.2%, a difference of 2.4%). Conversely, both communities are more comparable in terms of family households (63.6% compared to 64.1%, a difference of 0.73%), average family size (3.17 compared to 3.13, a difference of 1.3%), and single mother households (5.7% compared to 5.8%, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Northern European communities in the United States are seen in no vehicles in household (11.1% compared to 7.9%, a difference of 39.9%), 4 or more vehicles in household (5.8% compared to 7.3%, a difference of 24.8%), and 3 or more vehicles in household (18.5% compared to 22.0%, a difference of 19.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 92.2%, a difference of 3.6%), 2 or more vehicles in household (54.2% compared to 59.9%, a difference of 10.4%), and 3 or more vehicles in household (18.5% compared to 22.0%, a difference of 19.3%).

When considering education level, the most significant differences between Immigrants from Hungary and Northern European communities in the United States are seen in no schooling completed (1.9% compared to 1.6%, a difference of 21.9%), master's degree (17.5% compared to 16.7%, a difference of 5.1%), and professional degree (5.5% compared to 5.2%, a difference of 4.8%). Conversely, both communities are more comparable in terms of college, 1 year or more (62.7% compared to 62.9%, a difference of 0.26%), nursery school (98.1% compared to 98.5%, a difference of 0.37%), and kindergarten (98.1% compared to 98.5%, a difference of 0.37%).

When considering disability, the most significant differences between Immigrants from Hungary and Northern European communities in the United States are seen in disability age under 5 (1.4% compared to 1.6%, a difference of 13.3%), disability age 18 to 34 (6.5% compared to 7.3%, a difference of 12.3%), and hearing disability (3.1% compared to 3.4%, a difference of 10.1%). Conversely, both communities are more comparable in terms of disability age over 75 (46.1% compared to 46.3%, a difference of 0.37%), self-care disability (2.4% compared to 2.4%, a difference of 0.50%), and cognitive disability (16.7% compared to 16.8%, a difference of 0.83%).