Crow vs Yakama Community Comparison

The statistical analysis conducted on geographies consisting of 6,204,144 people shows a perfect positive correlation between the proportion of Yakama within Crow communities in the United States with a correlation coefficient (R) of 1.000. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 3.732% in Yakama. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 3,731.5 Yakama.

When considering income, the most significant differences between Crow and Yakama communities in the United States are seen in wage/income gap (19.1% compared to 23.7%, a difference of 24.6%), householder income ages 45 - 64 years ($74,257 compared to $86,992, a difference of 17.2%), and householder income under 25 years ($47,012 compared to $54,321, a difference of 15.5%). Conversely, both communities are more comparable in terms of median earnings ($38,707 compared to $39,107, a difference of 1.0%), per capita income ($31,729 compared to $33,009, a difference of 4.0%), and median female earnings ($35,266 compared to $33,354, a difference of 5.7%).

When considering poverty, the most significant differences between Crow and Yakama communities in the United States are seen in single father poverty (30.3% compared to 18.1%, a difference of 67.1%), receiving food stamps (13.4% compared to 21.4%, a difference of 59.6%), and single male poverty (23.3% compared to 15.9%, a difference of 46.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (15.2% compared to 14.8%, a difference of 2.9%), single mother poverty (38.6% compared to 36.4%, a difference of 6.1%), and married-couple family poverty (9.6% compared to 9.0%, a difference of 6.7%).

When considering unemployment, the most significant differences between Crow and Yakama communities in the United States are seen in unemployment among seniors over 75 years (5.9% compared to 18.4%, a difference of 211.6%), unemployment among ages 35 to 44 years (15.7% compared to 5.6%, a difference of 178.7%), and unemployment among ages 65 to 74 years (17.4% compared to 6.6%, a difference of 165.4%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (8.2% compared to 8.1%, a difference of 2.3%), unemployment among ages 30 to 34 years (10.3% compared to 9.8%, a difference of 6.0%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 9.9%, a difference of 7.0%).

When considering labor participation, the most significant differences between Crow and Yakama communities in the United States are seen in in labor force | age 16-19 (38.5% compared to 36.9%, a difference of 4.3%), in labor force | age 30-34 (75.9% compared to 79.1%, a difference of 4.2%), and in labor force | age 20-64 (73.3% compared to 75.8%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (60.8% compared to 62.1%, a difference of 2.2%), in labor force | age 20-24 (76.9% compared to 75.1%, a difference of 2.4%), and in labor force | age 25-29 (78.6% compared to 80.6%, a difference of 2.5%).

When considering family structure, the most significant differences between Crow and Yakama communities in the United States are seen in single father households (3.5% compared to 4.2%, a difference of 19.1%), divorced or separated (14.1% compared to 12.3%, a difference of 14.3%), and single mother households (7.4% compared to 8.4%, a difference of 12.9%). Conversely, both communities are more comparable in terms of births to unmarried women (40.4% compared to 40.3%, a difference of 0.060%), family households (65.3% compared to 69.3%, a difference of 6.2%), and currently married (40.4% compared to 44.0%, a difference of 9.0%).

When considering vehicle availability, the most significant differences between Crow and Yakama communities in the United States are seen in no vehicles in household (11.0% compared to 6.6%, a difference of 67.0%), 4 or more vehicles in household (7.8% compared to 12.9%, a difference of 66.2%), and 3 or more vehicles in household (22.5% compared to 31.0%, a difference of 37.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 93.6%, a difference of 4.8%), 2 or more vehicles in household (55.7% compared to 64.9%, a difference of 16.5%), and 3 or more vehicles in household (22.5% compared to 31.0%, a difference of 37.9%).

When considering education level, the most significant differences between Crow and Yakama communities in the United States are seen in no schooling completed (1.6% compared to 3.6%, a difference of 116.7%), college, 1 year or more (54.5% compared to 46.2%, a difference of 17.9%), and associate's degree (37.6% compared to 32.3%, a difference of 16.2%). Conversely, both communities are more comparable in terms of professional degree (3.2% compared to 3.1%, a difference of 2.5%), nursery school (99.7% compared to 96.6%, a difference of 3.1%), and kindergarten (99.7% compared to 96.6%, a difference of 3.2%).

When considering disability, the most significant differences between Crow and Yakama communities in the United States are seen in disability age under 5 (1.2% compared to 1.00%, a difference of 24.0%), disability age 5 to 17 (5.4% compared to 6.3%, a difference of 16.6%), and disability age 18 to 34 (8.3% compared to 9.0%, a difference of 8.5%). Conversely, both communities are more comparable in terms of vision disability (2.5% compared to 2.5%, a difference of 1.2%), ambulatory disability (6.9% compared to 6.8%, a difference of 1.4%), and male disability (13.1% compared to 13.5%, a difference of 3.2%).