Crow vs Mongolian Community Comparison

The statistical analysis conducted on geographies consisting of 39,318,218 people shows a very strong negative correlation between the proportion of Mongolians within Crow communities in the United States with a correlation coefficient (R) of -0.882. On average, for every 1% (one percent) increase in Crow within a typical geography, there is a decrease of 0.014% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to a decrease of 14.5 Mongolians.

When considering income, the most significant differences between Crow and Mongolian communities in the United States are seen in per capita income ($31,729 compared to $49,173, a difference of 55.0%), householder income ages 45 - 64 years ($74,257 compared to $111,602, a difference of 50.3%), and median family income ($76,605 compared to $114,553, a difference of 49.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $52,540, a difference of 11.8%), median female earnings ($35,266 compared to $42,542, a difference of 20.6%), and median earnings ($38,707 compared to $51,038, a difference of 31.9%).

When considering poverty, the most significant differences between Crow and Mongolian communities in the United States are seen in single father poverty (30.3% compared to 15.3%, a difference of 98.6%), child poverty under the age of 5 (31.0% compared to 16.1%, a difference of 92.5%), and single male poverty (23.3% compared to 12.2%, a difference of 91.3%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 10.5%, a difference of 28.4%), seniors poverty over the age of 75 (15.9% compared to 12.2%, a difference of 30.3%), and single mother poverty (38.6% compared to 27.7%, a difference of 39.6%).

When considering unemployment, the most significant differences between Crow and Mongolian communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.3%, a difference of 264.1%), unemployment among seniors over 65 years (16.9% compared to 5.1%, a difference of 228.6%), and unemployment among ages 65 to 74 years (17.4% compared to 5.3%, a difference of 225.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.8%, a difference of 3.3%), unemployment among women with children ages 6 to 17 years (9.2% compared to 8.4%, a difference of 9.9%), and unemployment among ages 55 to 59 years (5.9% compared to 4.6%, a difference of 27.9%).

When considering labor participation, the most significant differences between Crow and Mongolian communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 85.3%, a difference of 12.4%), in labor force | age 35-44 (76.5% compared to 84.8%, a difference of 10.9%), and in labor force | age 16-19 (38.5% compared to 35.3%, a difference of 9.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 73.3%, a difference of 4.8%), in labor force | age 45-54 (78.3% compared to 83.3%, a difference of 6.3%), and in labor force | age 25-29 (78.6% compared to 85.1%, a difference of 8.2%).

When considering family structure, the most significant differences between Crow and Mongolian communities in the United States are seen in single father households (3.5% compared to 2.1%, a difference of 71.3%), births to unmarried women (40.4% compared to 27.9%, a difference of 44.6%), and single mother households (7.4% compared to 5.8%, a difference of 28.6%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.6%, a difference of 0.81%), family households (65.3% compared to 62.8%, a difference of 4.0%), and married-couple households (41.4% compared to 46.3%, a difference of 12.0%).

When considering vehicle availability, the most significant differences between Crow and Mongolian communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 5.8%, a difference of 34.1%), 3 or more vehicles in household (22.5% compared to 18.1%, a difference of 24.0%), and no vehicles in household (11.0% compared to 13.1%, a difference of 18.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 87.0%, a difference of 2.7%), 2 or more vehicles in household (55.7% compared to 52.8%, a difference of 5.5%), and no vehicles in household (11.0% compared to 13.1%, a difference of 18.9%).

When considering education level, the most significant differences between Crow and Mongolian communities in the United States are seen in professional degree (3.2% compared to 6.1%, a difference of 94.3%), doctorate degree (1.5% compared to 2.8%, a difference of 86.8%), and master's degree (10.6% compared to 19.4%, a difference of 82.4%). Conversely, both communities are more comparable in terms of 11th grade (92.9% compared to 93.0%, a difference of 0.070%), 10th grade (94.7% compared to 94.0%, a difference of 0.79%), and 9th grade (96.1% compared to 95.0%, a difference of 1.1%).

When considering disability, the most significant differences between Crow and Mongolian communities in the United States are seen in hearing disability (4.2% compared to 2.7%, a difference of 52.1%), disability age 35 to 64 (14.6% compared to 10.1%, a difference of 44.3%), and disability age 18 to 34 (8.3% compared to 6.2%, a difference of 32.8%). Conversely, both communities are more comparable in terms of cognitive disability (17.3% compared to 17.7%, a difference of 2.4%), disability age 5 to 17 (5.4% compared to 5.3%, a difference of 2.5%), and disability age over 75 (49.6% compared to 46.3%, a difference of 7.0%).