Immigrants from Hungary vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 41,478,789 people shows a near-perfect positive correlation between the proportion of Crow within Immigrant from Hungary communities in the United States with a correlation coefficient (R) of 0.925. On average, for every 1% (one percent) increase in Immigrants from Hungary within a typical geography, there is an increase of 0.755% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Hungary corresponds to an increase of 755.4 Crow.

When considering income, the most significant differences between Immigrants from Hungary and Crow communities in the United States are seen in per capita income ($49,303 compared to $31,729, a difference of 55.4%), householder income ages 45 - 64 years ($108,267 compared to $74,257, a difference of 45.8%), and median family income ($111,378 compared to $76,605, a difference of 45.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($52,798 compared to $47,012, a difference of 12.3%), median female earnings ($41,820 compared to $35,266, a difference of 18.6%), and median earnings ($50,227 compared to $38,707, a difference of 29.8%).

When considering poverty, the most significant differences between Immigrants from Hungary and Crow communities in the United States are seen in married-couple family poverty (4.9% compared to 9.6%, a difference of 94.8%), family poverty (8.4% compared to 16.1%, a difference of 92.7%), and single father poverty (16.1% compared to 30.3%, a difference of 88.5%). Conversely, both communities are more comparable in terms of receiving food stamps (10.3% compared to 13.4%, a difference of 29.7%), single mother poverty (28.9% compared to 38.6%, a difference of 33.8%), and seniors poverty over the age of 75 (11.8% compared to 15.9%, a difference of 34.9%).

When considering unemployment, the most significant differences between Immigrants from Hungary 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 242.0%), unemployment among seniors over 65 years (5.0% compared to 16.9%, a difference of 238.4%), and unemployment among ages 65 to 74 years (5.2% compared to 17.4%, a difference of 235.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 5.0%, a difference of 2.0%), unemployment among women with children ages 6 to 17 years (8.9% compared to 9.2%, a difference of 3.7%), and unemployment among ages 55 to 59 years (4.8% compared to 5.9%, a difference of 21.4%).

When considering labor participation, the most significant differences between Immigrants from Hungary and Crow communities in the United States are seen in in labor force | age 30-34 (85.1% compared to 75.9%, a difference of 12.1%), in labor force | age 35-44 (84.4% compared to 76.5%, a difference of 10.4%), and in labor force | age 20-64 (79.5% compared to 73.3%, a difference of 8.4%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.9% compared to 76.9%, a difference of 2.7%), in labor force | age 45-54 (82.7% compared to 78.3%, a difference of 5.6%), and in labor force | age > 16 (64.5% compared to 60.8%, a difference of 6.2%).

When considering family structure, the most significant differences between Immigrants from Hungary and Crow communities in the United States are seen in single father households (2.1% compared to 3.5%, a difference of 67.5%), births to unmarried women (29.7% compared to 40.4%, a difference of 35.7%), and single mother households (5.7% compared to 7.4%, a difference of 31.6%). Conversely, both communities are more comparable in terms of family households with children (26.7% compared to 27.4%, a difference of 2.5%), family households (63.6% compared to 65.3%, a difference of 2.6%), and married-couple households (47.3% compared to 41.4%, a difference of 14.4%).

When considering vehicle availability, the most significant differences between Immigrants from Hungary and Crow communities in the United States are seen in 4 or more vehicles in household (5.8% compared to 7.8%, a difference of 33.3%), 3 or more vehicles in household (18.5% compared to 22.5%, a difference of 21.8%), and 2 or more vehicles in household (54.2% compared to 55.7%, a difference of 2.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 89.3%, a difference of 0.34%), no vehicles in household (11.1% compared to 11.0%, a difference of 0.52%), and 2 or more vehicles in household (54.2% compared to 55.7%, a difference of 2.8%).

When considering education level, the most significant differences between Immigrants from Hungary and Crow communities in the United States are seen in professional degree (5.5% compared to 3.2%, a difference of 72.8%), master's degree (17.5% compared to 10.6%, a difference of 65.0%), and bachelor's degree (42.3% compared to 27.7%, a difference of 52.5%). Conversely, both communities are more comparable in terms of 10th grade (94.4% compared to 94.7%, a difference of 0.33%), 11th grade (93.4% compared to 92.9%, a difference of 0.49%), and 9th grade (95.4% compared to 96.1%, a difference of 0.74%).

When considering disability, the most significant differences between Immigrants from Hungary and Crow communities in the United States are seen in disability age 35 to 64 (10.4% compared to 14.6%, a difference of 40.1%), hearing disability (3.1% compared to 4.2%, a difference of 33.0%), and disability age 65 to 74 (21.7% compared to 27.9%, a difference of 28.6%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (5.5% compared to 5.4%, a difference of 1.3%), cognitive disability (16.7% compared to 17.3%, a difference of 4.0%), and self-care disability (2.4% compared to 2.5%, a difference of 4.7%).