Crow vs White/Caucasian Community Comparison

The statistical analysis conducted on geographies consisting of 59,207,454 people shows a strong negative correlation between the proportion of Whites/Caucasians within Crow communities in the United States with a correlation coefficient (R) of -0.747. On average, for every 1% (one percent) increase in Crow within a typical geography, there is a decrease of 0.682% in Whites/Caucasians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to a decrease of 681.9 Whites/Caucasians.

When considering income, the most significant differences between Crow and White/Caucasian communities in the United States are seen in wage/income gap (19.1% compared to 28.5%, a difference of 49.6%), per capita income ($31,729 compared to $42,180, a difference of 32.9%), and householder income ages 45 - 64 years ($74,257 compared to $98,091, a difference of 32.1%). Conversely, both communities are more comparable in terms of median female earnings ($35,266 compared to $37,531, a difference of 6.4%), householder income under 25 years ($47,012 compared to $50,336, a difference of 7.1%), and median earnings ($38,707 compared to $45,197, a difference of 16.8%).

When considering poverty, the most significant differences between Crow and White/Caucasian communities in the United States are seen in married-couple family poverty (9.6% compared to 4.8%, a difference of 98.2%), family poverty (16.1% compared to 8.8%, a difference of 83.7%), and male poverty (19.1% compared to 11.1%, a difference of 72.2%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 11.1%, a difference of 21.4%), single mother poverty (38.6% compared to 31.2%, a difference of 23.9%), and seniors poverty over the age of 75 (15.9% compared to 11.4%, a difference of 39.4%).

When considering unemployment, the most significant differences between Crow and White/Caucasian communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.6%, a difference of 238.6%), unemployment among seniors over 65 years (16.9% compared to 5.1%, a difference of 232.0%), and unemployment among ages 65 to 74 years (17.4% compared to 5.4%, a difference of 225.1%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.2% compared to 9.6%, a difference of 4.3%), unemployment among ages 60 to 64 years (5.0% compared to 4.7%, a difference of 5.5%), and unemployment among ages 55 to 59 years (5.9% compared to 4.7%, a difference of 24.8%).

When considering labor participation, the most significant differences between Crow and White/Caucasian communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 83.9%, a difference of 10.5%), in labor force | age 35-44 (76.5% compared to 83.6%, a difference of 9.4%), and in labor force | age 16-19 (38.5% compared to 41.3%, a difference of 7.3%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 76.9%, a difference of 0.050%), in labor force | age 45-54 (78.3% compared to 81.9%, a difference of 4.5%), and in labor force | age > 16 (60.8% compared to 63.6%, a difference of 4.6%).

When considering family structure, the most significant differences between Crow and White/Caucasian communities in the United States are seen in single father households (3.5% compared to 2.4%, a difference of 47.0%), single mother households (7.4% compared to 6.1%, a difference of 22.0%), and average family size (3.82 compared to 3.14, a difference of 21.6%). Conversely, both communities are more comparable in terms of family households (65.3% compared to 65.1%, a difference of 0.31%), family households with children (27.4% compared to 27.4%, a difference of 0.32%), and divorced or separated (14.1% compared to 12.6%, a difference of 11.6%).

When considering vehicle availability, the most significant differences between Crow and White/Caucasian communities in the United States are seen in no vehicles in household (11.0% compared to 7.0%, a difference of 56.9%), 2 or more vehicles in household (55.7% compared to 60.8%, a difference of 9.1%), and 4 or more vehicles in household (7.8% compared to 7.4%, a difference of 5.7%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (22.5% compared to 22.6%, a difference of 0.51%), 1 or more vehicles in household (89.3% compared to 93.1%, a difference of 4.3%), and 4 or more vehicles in household (7.8% compared to 7.4%, a difference of 5.7%).

When considering education level, the most significant differences between Crow and White/Caucasian communities in the United States are seen in master's degree (10.6% compared to 13.8%, a difference of 30.0%), professional degree (3.2% compared to 4.1%, a difference of 29.0%), and bachelor's degree (27.7% compared to 35.3%, a difference of 27.1%). Conversely, both communities are more comparable in terms of 10th grade (94.7% compared to 94.7%, a difference of 0.050%), 9th grade (96.1% compared to 95.8%, a difference of 0.30%), and 11th grade (92.9% compared to 93.3%, a difference of 0.48%).

When considering disability, the most significant differences between Crow and White/Caucasian communities in the United States are seen in disability age under 5 (1.2% compared to 1.7%, a difference of 34.1%), disability age 35 to 64 (14.6% compared to 12.6%, a difference of 15.8%), and disability age 65 to 74 (27.9% compared to 24.2%, a difference of 15.3%). Conversely, both communities are more comparable in terms of disability (12.9% compared to 13.0%, a difference of 0.82%), self-care disability (2.5% compared to 2.6%, a difference of 1.6%), and cognitive disability (17.3% compared to 17.0%, a difference of 2.1%).