Crow vs Hungarian Community Comparison

The statistical analysis conducted on geographies consisting of 57,092,867 people shows a strong negative correlation between the proportion of Hungarians within Crow communities in the United States with a correlation coefficient (R) of -0.730. On average, for every 1% (one percent) increase in Crow within a typical geography, there is a decrease of 0.041% in Hungarians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to a decrease of 41.0 Hungarians.

When considering income, the most significant differences between Crow and Hungarian communities in the United States are seen in wage/income gap (19.1% compared to 29.0%, a difference of 52.3%), per capita income ($31,729 compared to $45,426, a difference of 43.2%), and householder income ages 45 - 64 years ($74,257 compared to $103,913, a difference of 39.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $50,247, a difference of 6.9%), median female earnings ($35,266 compared to $39,510, a difference of 12.0%), and median earnings ($38,707 compared to $47,795, a difference of 23.5%).

When considering poverty, the most significant differences between Crow and Hungarian communities in the United States are seen in family poverty (16.1% compared to 8.8%, a difference of 83.2%), married-couple family poverty (9.6% compared to 5.3%, a difference of 79.9%), and child poverty under the age of 5 (31.0% compared to 17.9%, a difference of 73.2%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 11.0%, a difference of 21.8%), single mother poverty (38.6% compared to 29.9%, a difference of 29.1%), and seniors poverty over the age of 75 (15.9% compared to 11.2%, a difference of 42.2%).

When considering unemployment, the most significant differences between Crow and Hungarian communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.6%, a difference of 238.0%), unemployment among seniors over 65 years (16.9% compared to 5.3%, a difference of 219.3%), and unemployment among ages 65 to 74 years (17.4% compared to 5.5%, a difference of 216.3%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.2% compared to 9.3%, a difference of 0.76%), unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 1.6%), and unemployment among ages 55 to 59 years (5.9% compared to 4.8%, a difference of 21.6%).

When considering labor participation, the most significant differences between Crow and Hungarian communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 84.5%, a difference of 11.3%), in labor force | age 35-44 (76.5% compared to 84.2%, a difference of 10.1%), and in labor force | age 20-64 (73.3% compared to 79.2%, a difference of 8.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 76.3%, a difference of 0.79%), in labor force | age 16-19 (38.5% compared to 39.8%, a difference of 3.5%), and in labor force | age > 16 (60.8% compared to 63.8%, a difference of 5.0%).

When considering family structure, the most significant differences between Crow and Hungarian communities in the United States are seen in single father households (3.5% compared to 2.2%, a difference of 61.8%), single mother households (7.4% compared to 5.7%, a difference of 31.3%), and births to unmarried women (40.4% compared to 31.2%, a difference of 29.2%). Conversely, both communities are more comparable in terms of family households (65.3% compared to 64.9%, a difference of 0.59%), family households with children (27.4% compared to 27.6%, a difference of 0.92%), and divorced or separated (14.1% compared to 12.0%, a difference of 17.7%).

When considering vehicle availability, the most significant differences between Crow and Hungarian communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 6.4%, a difference of 21.6%), 3 or more vehicles in household (22.5% compared to 19.8%, a difference of 13.3%), and no vehicles in household (11.0% compared to 9.9%, a difference of 11.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 90.3%, a difference of 1.2%), 2 or more vehicles in household (55.7% compared to 56.5%, a difference of 1.4%), and no vehicles in household (11.0% compared to 9.9%, a difference of 11.3%).

When considering education level, the most significant differences between Crow and Hungarian communities in the United States are seen in professional degree (3.2% compared to 4.6%, a difference of 46.8%), master's degree (10.6% compared to 15.6%, a difference of 46.3%), and bachelor's degree (27.7% compared to 38.3%, a difference of 38.0%). Conversely, both communities are more comparable in terms of 9th grade (96.1% compared to 96.2%, a difference of 0.17%), 10th grade (94.7% compared to 95.3%, a difference of 0.66%), and nursery school (99.7% compared to 98.5%, a difference of 1.2%).

When considering disability, the most significant differences between Crow and Hungarian communities in the United States are seen in disability age 35 to 64 (14.6% compared to 11.4%, a difference of 28.1%), disability age under 5 (1.2% compared to 1.5%, a difference of 25.0%), and disability age 65 to 74 (27.9% compared to 22.4%, a difference of 24.5%). Conversely, both communities are more comparable in terms of female disability (12.7% compared to 12.5%, a difference of 1.5%), self-care disability (2.5% compared to 2.5%, a difference of 1.8%), and cognitive disability (17.3% compared to 16.5%, a difference of 5.2%).