Hungarian vs Colombian Community Comparison

The statistical analysis conducted on geographies consisting of 386,570,728 people shows a poor negative correlation between the proportion of Colombians within Hungarian communities in the United States with a correlation coefficient (R) of -0.123. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is a decrease of 0.010% in Colombians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to a decrease of 9.9 Colombians.

When considering income, the most significant differences between Hungarian and Colombian communities in the United States are seen in wage/income gap (29.0% compared to 24.7%, a difference of 17.4%), median male earnings ($57,309 compared to $53,832, a difference of 6.5%), and householder income under 25 years ($50,247 compared to $53,357, a difference of 6.2%). Conversely, both communities are more comparable in terms of median female earnings ($39,510 compared to $39,439, a difference of 0.18%), median household income ($86,920 compared to $85,716, a difference of 1.4%), and median earnings ($47,795 compared to $46,349, a difference of 3.1%).

When considering poverty, the most significant differences between Hungarian and Colombian communities in the United States are seen in seniors poverty over the age of 65 (9.7% compared to 12.5%, a difference of 28.9%), seniors poverty over the age of 75 (11.2% compared to 14.3%, a difference of 27.2%), and single father poverty (18.5% compared to 16.1%, a difference of 14.8%). Conversely, both communities are more comparable in terms of poverty (12.2% compared to 12.2%, a difference of 0.60%), male poverty (11.1% compared to 11.0%, a difference of 0.81%), and female poverty (13.2% compared to 13.4%, a difference of 1.5%).

When considering unemployment, the most significant differences between Hungarian and Colombian communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 8.5%, a difference of 18.3%), female unemployment (4.9% compared to 5.3%, a difference of 8.1%), and unemployment among ages 16 to 19 years (17.1% compared to 18.3%, a difference of 6.9%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.3% compared to 9.3%, a difference of 0.34%), male unemployment (5.2% compared to 5.2%, a difference of 0.43%), and unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.75%).

When considering labor participation, the most significant differences between Hungarian and Colombian communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 33.8%, a difference of 17.8%), in labor force | age 20-24 (76.3% compared to 73.5%, a difference of 3.8%), and in labor force | age > 16 (63.8% compared to 65.9%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 84.7%, a difference of 0.11%), in labor force | age 30-34 (84.5% compared to 84.9%, a difference of 0.46%), and in labor force | age 35-44 (84.2% compared to 85.0%, a difference of 0.87%).

When considering family structure, the most significant differences between Hungarian and Colombian communities in the United States are seen in single mother households (5.7% compared to 6.6%, a difference of 15.8%), single father households (2.2% compared to 2.3%, a difference of 7.8%), and currently married (48.8% compared to 46.3%, a difference of 5.4%). Conversely, both communities are more comparable in terms of family households (64.9% compared to 66.3%, a difference of 2.1%), family households with children (27.6% compared to 28.3%, a difference of 2.4%), and average family size (3.18 compared to 3.26, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Hungarian and Colombian communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 5.5%, a difference of 15.5%), 3 or more vehicles in household (19.8% compared to 17.8%, a difference of 11.5%), and 2 or more vehicles in household (56.5% compared to 52.9%, a difference of 6.9%). Conversely, both communities are more comparable in terms of no vehicles in household (9.9% compared to 10.0%, a difference of 1.2%), 1 or more vehicles in household (90.3% compared to 88.0%, a difference of 2.6%), and 2 or more vehicles in household (56.5% compared to 52.9%, a difference of 6.9%).

When considering education level, the most significant differences between Hungarian and Colombian communities in the United States are seen in no schooling completed (1.6% compared to 2.3%, a difference of 46.4%), doctorate degree (1.9% compared to 1.7%, a difference of 10.1%), and high school diploma (90.8% compared to 88.1%, a difference of 3.1%). Conversely, both communities are more comparable in terms of associate's degree (46.7% compared to 46.8%, a difference of 0.24%), bachelor's degree (38.3% compared to 38.4%, a difference of 0.31%), and professional degree (4.6% compared to 4.6%, a difference of 0.65%).

When considering disability, the most significant differences between Hungarian and Colombian communities in the United States are seen in disability age under 5 (1.5% compared to 1.2%, a difference of 26.7%), hearing disability (3.4% compared to 2.7%, a difference of 23.5%), and disability age 18 to 34 (7.1% compared to 5.9%, a difference of 22.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.7%, a difference of 0.37%), vision disability (2.1% compared to 2.1%, a difference of 0.71%), and cognitive disability (16.5% compared to 16.6%, a difference of 0.84%).