Hungarian vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 340,527,246 people shows a poor negative correlation between the proportion of Peruvians within Hungarian communities in the United States with a correlation coefficient (R) of -0.133. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is a decrease of 0.011% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to a decrease of 10.6 Peruvians.

When considering income, the most significant differences between Hungarian and Peruvian communities in the United States are seen in wage/income gap (29.0% compared to 25.6%, a difference of 13.4%), householder income under 25 years ($50,247 compared to $56,052, a difference of 11.6%), and median household income ($86,920 compared to $90,261, a difference of 3.8%). Conversely, both communities are more comparable in terms of median family income ($105,609 compared to $105,444, a difference of 0.16%), median earnings ($47,795 compared to $47,628, a difference of 0.35%), and householder income ages 45 - 64 years ($103,913 compared to $105,070, a difference of 1.1%).

When considering poverty, the most significant differences between Hungarian and Peruvian communities in the United States are seen in seniors poverty over the age of 65 (9.7% compared to 11.7%, a difference of 20.6%), single father poverty (18.5% compared to 15.4%, a difference of 19.7%), and seniors poverty over the age of 75 (11.2% compared to 13.4%, a difference of 19.3%). Conversely, both communities are more comparable in terms of family poverty (8.8% compared to 8.8%, a difference of 0.13%), married-couple family poverty (5.3% compared to 5.3%, a difference of 0.36%), and female poverty (13.2% compared to 12.9%, a difference of 2.2%).

When considering unemployment, the most significant differences between Hungarian and Peruvian communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 9.0%, a difference of 11.6%), female unemployment (4.9% compared to 5.4%, a difference of 10.1%), and unemployment among women with children under 18 years (5.3% compared to 5.6%, a difference of 7.3%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 0.30%), unemployment among ages 30 to 34 years (5.5% compared to 5.5%, a difference of 0.50%), and unemployment among ages 65 to 74 years (5.5% compared to 5.5%, a difference of 0.59%).

When considering labor participation, the most significant differences between Hungarian and Peruvian communities in the United States are seen in in labor force | age 16-19 (39.8% compared to 34.6%, a difference of 15.2%), in labor force | age > 16 (63.8% compared to 66.3%, a difference of 3.9%), and in labor force | age 20-24 (76.3% compared to 74.5%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 84.7%, a difference of 0.13%), in labor force | age 30-34 (84.5% compared to 84.8%, a difference of 0.31%), and in labor force | age 35-44 (84.2% compared to 84.9%, a difference of 0.82%).

When considering family structure, the most significant differences between Hungarian and Peruvian communities in the United States are seen in single mother households (5.7% compared to 6.5%, a difference of 15.2%), single father households (2.2% compared to 2.4%, a difference of 9.6%), and family households with children (27.6% compared to 29.0%, a difference of 5.0%). Conversely, both communities are more comparable in terms of divorced or separated (12.0% compared to 11.9%, a difference of 0.51%), births to unmarried women (31.2% compared to 31.5%, a difference of 0.86%), and married-couple households (49.1% compared to 47.6%, a difference of 3.0%).

When considering vehicle availability, the most significant differences between Hungarian and Peruvian communities in the United States are seen in no vehicles in household (9.9% compared to 11.2%, a difference of 13.4%), 2 or more vehicles in household (56.5% compared to 55.0%, a difference of 2.8%), and 1 or more vehicles in household (90.3% compared to 88.8%, a difference of 1.7%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.4% compared to 6.5%, a difference of 0.92%), 3 or more vehicles in household (19.8% compared to 19.6%, a difference of 0.97%), and 1 or more vehicles in household (90.3% compared to 88.8%, a difference of 1.7%).

When considering education level, the most significant differences between Hungarian and Peruvian communities in the United States are seen in no schooling completed (1.6% compared to 2.4%, a difference of 50.0%), doctorate degree (1.9% compared to 1.8%, a difference of 5.9%), and high school diploma (90.8% compared to 87.8%, a difference of 3.4%). Conversely, both communities are more comparable in terms of bachelor's degree (38.3% compared to 38.3%, a difference of 0.14%), associate's degree (46.7% compared to 46.4%, a difference of 0.67%), and nursery school (98.5% compared to 97.6%, a difference of 0.86%).

When considering disability, the most significant differences between Hungarian and Peruvian communities in the United States are seen in hearing disability (3.4% compared to 2.7%, a difference of 24.0%), disability age under 5 (1.5% compared to 1.3%, a difference of 23.4%), and disability age 18 to 34 (7.1% compared to 6.0%, a difference of 19.6%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.8%, a difference of 0.66%), disability age 65 to 74 (22.4% compared to 22.2%, a difference of 0.87%), and cognitive disability (16.5% compared to 16.7%, a difference of 1.2%).