Indian (Asian) vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 57,500,724 people shows a poor negative correlation between the proportion of Crow within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.176. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.001% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 0.7 Crow.

When considering income, the most significant differences between Indian (Asian) and Crow communities in the United States are seen in per capita income ($53,874 compared to $31,729, a difference of 69.8%), householder income ages 25 - 44 years ($119,496 compared to $71,337, a difference of 67.5%), and median household income ($105,262 compared to $63,681, a difference of 65.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($58,239 compared to $47,012, a difference of 23.9%), median female earnings ($46,481 compared to $35,266, a difference of 31.8%), and wage/income gap (26.4% compared to 19.1%, a difference of 38.8%).

When considering poverty, the most significant differences between Indian (Asian) and Crow communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 31.0%, a difference of 130.5%), family poverty (7.7% compared to 16.1%, a difference of 108.9%), and single male poverty (11.3% compared to 23.3%, a difference of 106.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.7% compared to 15.9%, a difference of 25.1%), seniors poverty over the age of 65 (11.1% compared to 15.2%, a difference of 37.2%), and receiving food stamps (9.6% compared to 13.4%, a difference of 39.4%).

When considering unemployment, the most significant differences between Indian (Asian) and Crow communities in the United States are seen in unemployment among ages 35 to 44 years (4.4% compared to 15.7%, a difference of 254.9%), unemployment among seniors over 65 years (5.2% compared to 16.9%, a difference of 227.2%), and unemployment among ages 65 to 74 years (5.3% compared to 17.4%, a difference of 225.4%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 5.0%, a difference of 1.3%), unemployment among ages 55 to 59 years (4.9% compared to 5.9%, a difference of 18.9%), and unemployment among women with children ages 6 to 17 years (7.7% compared to 9.2%, a difference of 19.6%).

When considering labor participation, the most significant differences between Indian (Asian) and Crow communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 38.5%, a difference of 20.8%), in labor force | age 30-34 (85.4% compared to 75.9%, a difference of 12.5%), and in labor force | age 35-44 (84.8% compared to 76.5%, a difference of 10.9%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.3% compared to 78.3%, a difference of 6.4%), in labor force | age 20-24 (71.9% compared to 76.9%, a difference of 7.0%), and in labor force | age 25-29 (84.7% compared to 78.6%, a difference of 7.8%).

When considering family structure, the most significant differences between Indian (Asian) and Crow communities in the United States are seen in single father households (1.9% compared to 3.5%, a difference of 84.4%), births to unmarried women (25.3% compared to 40.4%, a difference of 59.7%), and single mother households (5.1% compared to 7.4%, a difference of 45.9%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 65.3%, a difference of 0.23%), family households with children (27.6% compared to 27.4%, a difference of 0.83%), and married-couple households (48.7% compared to 41.4%, a difference of 17.8%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Crow communities in the United States are seen in no vehicles in household (14.1% compared to 11.0%, a difference of 27.4%), 4 or more vehicles in household (6.4% compared to 7.8%, a difference of 21.0%), and 3 or more vehicles in household (19.1% compared to 22.5%, a difference of 17.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 89.3%, a difference of 3.8%), 2 or more vehicles in household (53.1% compared to 55.7%, a difference of 5.0%), and 3 or more vehicles in household (19.1% compared to 22.5%, a difference of 17.5%).

When considering education level, the most significant differences between Indian (Asian) and Crow communities in the United States are seen in professional degree (6.5% compared to 3.2%, a difference of 106.5%), doctorate degree (2.9% compared to 1.5%, a difference of 97.0%), and master's degree (20.5% compared to 10.6%, a difference of 92.3%). Conversely, both communities are more comparable in terms of 11th grade (92.5% compared to 92.9%, a difference of 0.39%), high school diploma (89.6% compared to 88.4%, a difference of 1.3%), and 10th grade (93.4% compared to 94.7%, a difference of 1.4%).

When considering disability, the most significant differences between Indian (Asian) and Crow communities in the United States are seen in disability age 35 to 64 (8.9% compared to 14.6%, a difference of 65.1%), hearing disability (2.7% compared to 4.2%, a difference of 53.9%), and disability age 18 to 34 (5.5% compared to 8.3%, a difference of 49.1%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 17.3%, a difference of 2.9%), disability age over 75 (46.5% compared to 49.6%, a difference of 6.6%), and self-care disability (2.3% compared to 2.5%, a difference of 7.6%).