Crow vs Paiute Community Comparison

The statistical analysis conducted on geographies consisting of 27,525,224 people shows a poor negative correlation between the proportion of Paiute within Crow communities in the United States with a correlation coefficient (R) of -0.184. On average, for every 1% (one percent) increase in Crow within a typical geography, there is a decrease of 0.928% in Paiute. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to a decrease of 927.6 Paiute.

When considering income, the most significant differences between Crow and Paiute communities in the United States are seen in wage/income gap (19.1% compared to 25.5%, a difference of 34.0%), per capita income ($31,729 compared to $37,066, a difference of 16.8%), and householder income ages 25 - 44 years ($71,337 compared to $82,984, a difference of 16.3%). Conversely, both communities are more comparable in terms of median female earnings ($35,266 compared to $36,056, a difference of 2.2%), median earnings ($38,707 compared to $41,508, a difference of 7.2%), and householder income over 65 years ($49,234 compared to $53,762, a difference of 9.2%).

When considering poverty, the most significant differences between Crow and Paiute communities in the United States are seen in female poverty among 18-24 year olds (33.2% compared to 23.3%, a difference of 42.6%), single father poverty (30.3% compared to 21.6%, a difference of 40.0%), and child poverty under the age of 5 (31.0% compared to 23.8%, a difference of 30.1%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (15.9% compared to 15.2%, a difference of 5.0%), receiving food stamps (13.4% compared to 14.3%, a difference of 6.2%), and single mother poverty (38.6% compared to 35.1%, a difference of 9.9%).

When considering unemployment, the most significant differences between Crow and Paiute communities in the United States are seen in unemployment among ages 65 to 74 years (17.4% compared to 6.3%, a difference of 176.3%), unemployment among seniors over 65 years (16.9% compared to 6.3%, a difference of 166.4%), and unemployment among ages 35 to 44 years (15.7% compared to 6.9%, a difference of 128.4%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (26.2% compared to 24.4%, a difference of 7.7%), unemployment among women with children ages 6 to 17 years (9.2% compared to 8.5%, a difference of 8.7%), and unemployment among youth under 25 years (20.1% compared to 17.6%, a difference of 14.3%).

When considering labor participation, the most significant differences between Crow and Paiute communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 81.2%, a difference of 6.9%), in labor force | age 35-44 (76.5% compared to 80.6%, a difference of 5.4%), and in labor force | age 16-19 (38.5% compared to 37.5%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (60.8% compared to 60.7%, a difference of 0.080%), in labor force | age 25-29 (78.6% compared to 78.1%, a difference of 0.65%), and in labor force | age 20-64 (73.3% compared to 74.7%, a difference of 1.9%).

When considering family structure, the most significant differences between Crow and Paiute communities in the United States are seen in average family size (3.82 compared to 3.29, a difference of 16.4%), single mother households (7.4% compared to 7.0%, a difference of 7.1%), and single father households (3.5% compared to 3.3%, a difference of 6.6%). Conversely, both communities are more comparable in terms of married-couple households (41.4% compared to 42.1%, a difference of 1.7%), family households (65.3% compared to 64.0%, a difference of 1.9%), and divorced or separated (14.1% compared to 13.6%, a difference of 3.5%).

When considering vehicle availability, the most significant differences between Crow and Paiute communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 9.0%, a difference of 15.8%), no vehicles in household (11.0% compared to 11.8%, a difference of 7.0%), and 3 or more vehicles in household (22.5% compared to 23.8%, a difference of 5.9%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (55.7% compared to 55.8%, a difference of 0.050%), 1 or more vehicles in household (89.3% compared to 88.6%, a difference of 0.74%), and 3 or more vehicles in household (22.5% compared to 23.8%, a difference of 5.9%).

When considering education level, the most significant differences between Crow and Paiute communities in the United States are seen in no schooling completed (1.6% compared to 2.4%, a difference of 44.4%), professional degree (3.2% compared to 3.4%, a difference of 9.2%), and 8th grade (99.0% compared to 95.1%, a difference of 4.2%). Conversely, both communities are more comparable in terms of doctorate degree (1.5% compared to 1.5%, a difference of 0.49%), college, under 1 year (60.2% compared to 59.6%, a difference of 0.92%), and bachelor's degree (27.7% compared to 28.1%, a difference of 1.2%).

When considering disability, the most significant differences between Crow and Paiute communities in the United States are seen in disability age under 5 (1.2% compared to 3.9%, a difference of 215.5%), self-care disability (2.5% compared to 2.9%, a difference of 16.1%), and vision disability (2.5% compared to 2.9%, a difference of 14.4%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (27.9% compared to 27.8%, a difference of 0.53%), hearing disability (4.2% compared to 4.1%, a difference of 2.2%), and disability age 35 to 64 (14.6% compared to 14.3%, a difference of 2.3%).