Peruvian vs Hungarian Community Comparison

The statistical analysis conducted on geographies consisting of 340,526,729 people shows a weak positive correlation between the proportion of Hungarians within Peruvian communities in the United States with a correlation coefficient (R) of 0.233. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.029% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 29.1 Hungarians.

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

When considering poverty, the most significant differences between Peruvian and Hungarian communities in the United States are seen in seniors poverty over the age of 65 (11.7% compared to 9.7%, a difference of 20.6%), single father poverty (15.4% compared to 18.5%, a difference of 19.7%), and seniors poverty over the age of 75 (13.4% compared to 11.2%, 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 (12.9% compared to 13.2%, a difference of 2.2%).

When considering unemployment, the most significant differences between Peruvian and Hungarian communities in the United States are seen in unemployment among seniors over 75 years (9.0% compared to 10.1%, a difference of 11.6%), female unemployment (5.4% compared to 4.9%, a difference of 10.1%), and unemployment among women with children under 18 years (5.6% compared to 5.3%, 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 Peruvian and Hungarian communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 39.8%, a difference of 15.2%), in labor force | age > 16 (66.3% compared to 63.8%, a difference of 3.9%), and in labor force | age 20-24 (74.5% compared to 76.3%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.6%, a difference of 0.13%), in labor force | age 30-34 (84.8% compared to 84.5%, a difference of 0.31%), and in labor force | age 35-44 (84.9% compared to 84.2%, a difference of 0.82%).

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

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

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

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