Crow vs Kiowa Community Comparison

The statistical analysis conducted on geographies consisting of 26,620,938 people shows a perfect positive correlation between the proportion of Kiowa 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 0.119% in Kiowa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 119.3 Kiowa.

When considering income, the most significant differences between Crow and Kiowa communities in the United States are seen in wage/income gap (19.1% compared to 23.6%, a difference of 23.9%), per capita income ($31,729 compared to $35,102, a difference of 10.6%), and median male earnings ($42,434 compared to $45,094, a difference of 6.3%). Conversely, both communities are more comparable in terms of householder income ages 45 - 64 years ($74,257 compared to $74,815, a difference of 0.75%), median earnings ($38,707 compared to $39,232, a difference of 1.4%), and median female earnings ($35,266 compared to $34,074, a difference of 3.5%).

When considering poverty, the most significant differences between Crow and Kiowa communities in the United States are seen in married-couple family poverty (9.6% compared to 6.6%, a difference of 43.8%), single father poverty (30.3% compared to 22.5%, a difference of 34.8%), and family poverty (16.1% compared to 12.2%, a difference of 31.6%). Conversely, both communities are more comparable in terms of single mother poverty (38.6% compared to 35.5%, a difference of 8.9%), receiving food stamps (13.4% compared to 14.9%, a difference of 10.8%), and child poverty among girls under 16 (26.4% compared to 23.7%, a difference of 11.3%).

When considering unemployment, the most significant differences between Crow and Kiowa communities in the United States are seen in unemployment among seniors over 65 years (16.9% compared to 4.8%, a difference of 247.8%), unemployment among ages 65 to 74 years (17.4% compared to 5.1%, a difference of 238.4%), and unemployment among ages 35 to 44 years (15.7% compared to 5.1%, a difference of 208.7%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (5.9% compared to 5.8%, a difference of 2.2%), unemployment among ages 16 to 19 years (26.2% compared to 25.2%, a difference of 4.1%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 9.6%, a difference of 4.3%).

When considering labor participation, the most significant differences between Crow and Kiowa communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 79.8%, a difference of 5.1%), in labor force | age 20-24 (76.9% compared to 73.2%, a difference of 5.0%), and in labor force | age 25-29 (78.6% compared to 81.6%, a difference of 3.8%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (78.3% compared to 78.3%, a difference of 0.080%), in labor force | age 20-64 (73.3% compared to 75.0%, a difference of 2.3%), and in labor force | age > 16 (60.8% compared to 62.4%, a difference of 2.7%).

When considering family structure, the most significant differences between Crow and Kiowa communities in the United States are seen in single father households (3.5% compared to 2.8%, a difference of 26.0%), average family size (3.82 compared to 3.27, a difference of 16.9%), and currently married (40.4% compared to 43.2%, a difference of 6.9%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.3%, a difference of 0.37%), married-couple households (41.4% compared to 42.0%, a difference of 1.5%), and divorced or separated (14.1% compared to 14.5%, a difference of 3.1%).

When considering vehicle availability, the most significant differences between Crow and Kiowa communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 6.2%, a difference of 25.0%), 3 or more vehicles in household (22.5% compared to 19.5%, a difference of 15.1%), and no vehicles in household (11.0% compared to 11.5%, a difference of 4.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 88.6%, a difference of 0.83%), 2 or more vehicles in household (55.7% compared to 53.9%, a difference of 3.5%), and no vehicles in household (11.0% compared to 11.5%, a difference of 4.4%).

When considering education level, the most significant differences between Crow and Kiowa communities in the United States are seen in college, 1 year or more (54.5% compared to 51.0%, a difference of 6.9%), college, under 1 year (60.2% compared to 57.8%, a difference of 4.0%), and bachelor's degree (27.7% compared to 28.8%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (90.0% compared to 90.0%, a difference of 0.040%), doctorate degree (1.5% compared to 1.5%, a difference of 0.090%), and high school diploma (88.4% compared to 88.2%, a difference of 0.30%).

When considering disability, the most significant differences between Crow and Kiowa communities in the United States are seen in vision disability (2.5% compared to 3.3%, a difference of 30.3%), female disability (12.7% compared to 15.8%, a difference of 24.7%), and ambulatory disability (6.9% compared to 8.6%, a difference of 24.6%). Conversely, both communities are more comparable in terms of hearing disability (4.2% compared to 4.3%, a difference of 4.1%), disability age 18 to 34 (8.3% compared to 8.8%, a difference of 6.8%), and cognitive disability (17.3% compared to 18.7%, a difference of 8.0%).