Hungarian vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 57,092,867 people shows a weak positive correlation between the proportion of Crow within Hungarian communities in the United States with a correlation coefficient (R) of 0.207. On average, for every 1% (one percent) increase in Hungarians within a typical geography, there is an increase of 0.005% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Hungarians corresponds to an increase of 4.9 Crow.

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

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

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

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

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

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

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

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