Crow vs Chickasaw Community Comparison

The statistical analysis conducted on geographies consisting of 40,663,562 people shows a significant positive correlation between the proportion of Chickasaw within Crow communities in the United States with a correlation coefficient (R) of 0.679. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 4.500% in Chickasaw. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 4,500.0 Chickasaw.

When considering income, the most significant differences between Crow and Chickasaw communities in the United States are seen in wage/income gap (19.1% compared to 27.2%, a difference of 42.5%), per capita income ($31,729 compared to $36,475, a difference of 15.0%), and median male earnings ($42,434 compared to $47,832, a difference of 12.7%). Conversely, both communities are more comparable in terms of median female earnings ($35,266 compared to $34,414, a difference of 2.5%), householder income under 25 years ($47,012 compared to $44,763, a difference of 5.0%), and median earnings ($38,707 compared to $40,672, a difference of 5.1%).

When considering poverty, the most significant differences between Crow and Chickasaw communities in the United States are seen in married-couple family poverty (9.6% compared to 5.8%, a difference of 65.1%), single father poverty (30.3% compared to 19.0%, a difference of 59.8%), and family poverty (16.1% compared to 10.8%, a difference of 48.5%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 13.1%, a difference of 2.5%), single mother poverty (38.6% compared to 34.4%, a difference of 12.2%), and single female poverty (32.4% compared to 26.3%, a difference of 23.4%).

When considering unemployment, the most significant differences between Crow and Chickasaw communities in the United States are seen in unemployment among seniors over 65 years (16.9% compared to 4.4%, a difference of 282.5%), unemployment among ages 65 to 74 years (17.4% compared to 4.7%, a difference of 269.3%), and unemployment among ages 45 to 54 years (13.7% compared to 4.2%, a difference of 223.8%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.2% compared to 8.6%, a difference of 7.5%), unemployment among ages 60 to 64 years (5.0% compared to 4.3%, a difference of 14.5%), and unemployment among ages 55 to 59 years (5.9% compared to 4.8%, a difference of 22.7%).

When considering labor participation, the most significant differences between Crow and Chickasaw communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 81.9%, a difference of 7.9%), in labor force | age 35-44 (76.5% compared to 80.9%, a difference of 5.8%), and in labor force | age 25-29 (78.6% compared to 81.9%, a difference of 4.2%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (38.5% compared to 38.3%, a difference of 0.44%), in labor force | age 45-54 (78.3% compared to 79.0%, a difference of 0.92%), and in labor force | age > 16 (60.8% compared to 62.3%, a difference of 2.5%).

When considering family structure, the most significant differences between Crow and Chickasaw communities in the United States are seen in single father households (3.5% compared to 2.8%, a difference of 27.7%), average family size (3.82 compared to 3.19, a difference of 20.0%), and currently married (40.4% compared to 46.6%, a difference of 15.4%). Conversely, both communities are more comparable in terms of divorced or separated (14.1% compared to 14.2%, a difference of 0.88%), family households (65.3% compared to 64.4%, a difference of 1.4%), and family households with children (27.4% compared to 28.2%, a difference of 3.2%).

When considering vehicle availability, the most significant differences between Crow and Chickasaw communities in the United States are seen in no vehicles in household (11.0% compared to 7.9%, a difference of 40.5%), 2 or more vehicles in household (55.7% compared to 59.0%, a difference of 5.9%), and 4 or more vehicles in household (7.8% compared to 7.4%, a difference of 4.6%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (22.5% compared to 22.2%, a difference of 1.2%), 1 or more vehicles in household (89.3% compared to 92.3%, a difference of 3.3%), and 4 or more vehicles in household (7.8% compared to 7.4%, a difference of 4.6%).

When considering education level, the most significant differences between Crow and Chickasaw communities in the United States are seen in bachelor's degree (27.7% compared to 30.4%, a difference of 9.6%), master's degree (10.6% compared to 11.4%, a difference of 7.4%), and professional degree (3.2% compared to 3.4%, a difference of 6.4%). Conversely, both communities are more comparable in terms of high school diploma (88.4% compared to 88.4%, a difference of 0.010%), ged/equivalency (83.8% compared to 83.8%, a difference of 0.050%), and 12th grade, no diploma (90.0% compared to 90.3%, a difference of 0.36%).

When considering disability, the most significant differences between Crow and Chickasaw communities in the United States are seen in disability age under 5 (1.2% compared to 1.7%, a difference of 40.5%), vision disability (2.5% compared to 3.2%, a difference of 27.4%), and disability age 5 to 17 (5.4% compared to 6.8%, a difference of 26.8%). Conversely, both communities are more comparable in terms of disability age over 75 (49.6% compared to 51.2%, a difference of 3.2%), cognitive disability (17.3% compared to 18.5%, a difference of 6.7%), and hearing disability (4.2% compared to 4.5%, a difference of 7.5%).