Crow vs Slavic Community Comparison

The statistical analysis conducted on geographies consisting of 48,959,722 people shows a strong positive correlation between the proportion of Slavs within Crow communities in the United States with a correlation coefficient (R) of 0.767. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 0.241% in Slavs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 241.3 Slavs.

When considering income, the most significant differences between Crow and Slavic communities in the United States are seen in wage/income gap (19.1% compared to 27.4%, a difference of 44.0%), per capita income ($31,729 compared to $45,049, a difference of 42.0%), and householder income ages 45 - 64 years ($74,257 compared to $102,629, a difference of 38.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $50,563, a difference of 7.5%), median female earnings ($35,266 compared to $39,613, a difference of 12.3%), and median earnings ($38,707 compared to $47,470, a difference of 22.6%).

When considering poverty, the most significant differences between Crow and Slavic communities in the United States are seen in married-couple family poverty (9.6% compared to 4.4%, a difference of 115.0%), family poverty (16.1% compared to 8.1%, a difference of 98.9%), and child poverty under the age of 5 (31.0% compared to 17.0%, a difference of 82.6%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 10.6%, a difference of 26.4%), single mother poverty (38.6% compared to 29.6%, a difference of 30.7%), 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 Slavic communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.6%, a difference of 240.8%), unemployment among seniors over 65 years (16.9% compared to 5.0%, a difference of 239.7%), and unemployment among ages 65 to 74 years (17.4% compared to 5.2%, a difference of 236.4%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.2% compared to 8.7%, a difference of 6.0%), unemployment among ages 60 to 64 years (5.0% compared to 4.6%, a difference of 6.9%), and unemployment among ages 55 to 59 years (5.9% compared to 4.7%, a difference of 24.0%).

When considering labor participation, the most significant differences between Crow and Slavic communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 85.0%, a difference of 12.0%), in labor force | age 35-44 (76.5% compared to 84.7%, a difference of 10.7%), and in labor force | age 20-64 (73.3% compared to 79.6%, a difference of 8.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 76.9%, a difference of 0.020%), in labor force | age 16-19 (38.5% compared to 40.4%, a difference of 4.9%), and in labor force | age 45-54 (78.3% compared to 82.9%, a difference of 5.9%).

When considering family structure, the most significant differences between Crow and Slavic communities in the United States are seen in single father households (3.5% compared to 2.2%, a difference of 56.3%), births to unmarried women (40.4% compared to 31.6%, a difference of 27.7%), and single mother households (7.4% compared to 5.9%, a difference of 27.0%). Conversely, both communities are more comparable in terms of family households (65.3% compared to 64.0%, a difference of 2.0%), family households with children (27.4% compared to 26.8%, a difference of 2.1%), and divorced or separated (14.1% compared to 12.2%, a difference of 15.2%).

When considering vehicle availability, the most significant differences between Crow and Slavic communities in the United States are seen in no vehicles in household (11.0% compared to 9.0%, a difference of 23.3%), 4 or more vehicles in household (7.8% compared to 6.6%, a difference of 18.6%), and 3 or more vehicles in household (22.5% compared to 20.4%, a difference of 10.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 91.2%, a difference of 2.1%), 2 or more vehicles in household (55.7% compared to 57.8%, a difference of 3.7%), and 3 or more vehicles in household (22.5% compared to 20.4%, a difference of 10.1%).

When considering education level, the most significant differences between Crow and Slavic communities in the United States are seen in master's degree (10.6% compared to 15.5%, a difference of 45.8%), professional degree (3.2% compared to 4.5%, a difference of 44.0%), and bachelor's degree (27.7% compared to 38.9%, a difference of 40.1%). Conversely, both communities are more comparable in terms of 9th grade (96.1% compared to 96.1%, a difference of 0.050%), 10th grade (94.7% compared to 95.2%, a difference of 0.51%), and no schooling completed (1.6% compared to 1.7%, a difference of 0.66%).

When considering disability, the most significant differences between Crow and Slavic communities in the United States are seen in disability age 35 to 64 (14.6% compared to 11.7%, a difference of 25.4%), hearing disability (4.2% compared to 3.4%, a difference of 21.7%), and disability age 65 to 74 (27.9% compared to 23.0%, a difference of 21.7%). Conversely, both communities are more comparable in terms of female disability (12.7% compared to 12.6%, a difference of 0.83%), self-care disability (2.5% compared to 2.5%, a difference of 1.3%), and cognitive disability (17.3% compared to 16.7%, a difference of 4.0%).