Hungarian vs Slavic Community Comparison

The statistical analysis conducted on geographies consisting of 263,029,005 people shows a strong positive correlation between the proportion of Slavs within Hungarian communities in the United States with a correlation coefficient (R) of 0.758. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.103% in Slavs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 102.6 Slavs.

When considering income, the most significant differences between Hungarian and Slavic communities in the United States are seen in wage/income gap (29.0% compared to 27.4%, a difference of 5.8%), median male earnings ($57,309 compared to $56,390, a difference of 1.6%), and householder income ages 45 - 64 years ($103,913 compared to $102,629, a difference of 1.3%). Conversely, both communities are more comparable in terms of householder income over 65 years ($61,673 compared to $61,709, a difference of 0.060%), median female earnings ($39,510 compared to $39,613, a difference of 0.26%), and median family income ($105,609 compared to $105,144, a difference of 0.44%).

When considering poverty, the most significant differences between Hungarian and Slavic communities in the United States are seen in married-couple family poverty (5.3% compared to 4.4%, a difference of 19.5%), family poverty (8.8% compared to 8.1%, a difference of 8.6%), and female poverty among 25-34 year olds (14.1% compared to 13.2%, a difference of 6.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.2% compared to 11.2%, a difference of 0.010%), single female poverty (21.1% compared to 21.1%, a difference of 0.060%), and seniors poverty over the age of 65 (9.7% compared to 9.8%, a difference of 0.61%).

When considering unemployment, the most significant differences between Hungarian and Slavic communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 9.2%, a difference of 10.1%), unemployment among women with children ages 6 to 17 years (9.3% compared to 8.7%, a difference of 6.8%), and unemployment among ages 65 to 74 years (5.5% compared to 5.2%, a difference of 6.4%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.3% compared to 5.2%, a difference of 0.33%), unemployment among ages 35 to 44 years (4.6% compared to 4.6%, a difference of 0.82%), and unemployment among ages 30 to 34 years (5.5% compared to 5.5%, a difference of 0.91%).

When considering labor participation, the most significant differences between Hungarian and Slavic communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 40.4%, a difference of 1.3%), in labor force | age > 16 (63.8% compared to 64.6%, a difference of 1.2%), and in labor force | age 20-24 (76.3% compared to 76.9%, a difference of 0.77%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (82.7% compared to 82.9%, a difference of 0.31%), in labor force | age 25-29 (84.6% compared to 85.1%, a difference of 0.51%), and in labor force | age 35-44 (84.2% compared to 84.7%, a difference of 0.53%).

When considering family structure, the most significant differences between Hungarian and Slavic communities in the United States are seen in single father households (2.2% compared to 2.2%, a difference of 3.5%), single mother households (5.7% compared to 5.9%, a difference of 3.4%), and family households with children (27.6% compared to 26.8%, a difference of 3.0%). Conversely, both communities are more comparable in terms of currently married (48.8% compared to 48.4%, a difference of 0.97%), births to unmarried women (31.2% compared to 31.6%, a difference of 1.2%), and family households (64.9% compared to 64.0%, a difference of 1.4%).

When considering vehicle availability, the most significant differences between Hungarian and Slavic communities in the United States are seen in no vehicles in household (9.9% compared to 9.0%, a difference of 10.8%), 3 or more vehicles in household (19.8% compared to 20.4%, a difference of 2.9%), and 4 or more vehicles in household (6.4% compared to 6.6%, a difference of 2.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 91.2%, a difference of 0.94%), 2 or more vehicles in household (56.5% compared to 57.8%, a difference of 2.3%), and 4 or more vehicles in household (6.4% compared to 6.6%, a difference of 2.6%).

When considering education level, the most significant differences between Hungarian and Slavic communities in the United States are seen in no schooling completed (1.6% compared to 1.7%, a difference of 3.6%), professional degree (4.6% compared to 4.5%, a difference of 1.9%), and associate's degree (46.7% compared to 47.6%, a difference of 1.9%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 98.4%, a difference of 0.060%), kindergarten (98.5% compared to 98.4%, a difference of 0.060%), and 1st grade (98.4% compared to 98.4%, a difference of 0.060%).

When considering disability, the most significant differences between Hungarian and Slavic communities in the United States are seen in disability age under 5 (1.5% compared to 1.4%, a difference of 10.0%), disability age 18 to 34 (7.1% compared to 7.4%, a difference of 3.5%), and disability age 65 to 74 (22.4% compared to 23.0%, a difference of 2.3%). Conversely, both communities are more comparable in terms of self-care disability (2.5% compared to 2.5%, a difference of 0.56%), female disability (12.5% compared to 12.6%, a difference of 0.62%), and ambulatory disability (6.3% compared to 6.4%, a difference of 0.86%).