Mongolian vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 39,318,218 people shows a weak positive correlation between the proportion of Crow within Mongolian communities in the United States with a correlation coefficient (R) of 0.268. On average, for every 1% (one percent) increase in Mongolians within a typical geography, there is an increase of 0.099% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Mongolians corresponds to an increase of 98.5 Crow.

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

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

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

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

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

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

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

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