Asian vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 57,438,270 people shows a slight positive correlation between the proportion of Crow within Asian communities in the United States with a correlation coefficient (R) of 0.076. On average, for every 1% (one percent) increase in Asians within a typical geography, there is an increase of 0.000% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to an increase of 0.3 Crow.

When considering income, the most significant differences between Asian and Crow communities in the United States are seen in median household income ($101,681 compared to $63,681, a difference of 59.7%), householder income ages 45 - 64 years ($118,426 compared to $74,257, a difference of 59.5%), and householder income ages 25 - 44 years ($112,666 compared to $71,337, a difference of 57.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,003 compared to $47,012, a difference of 21.2%), median female earnings ($44,586 compared to $35,266, a difference of 26.4%), and median earnings ($53,690 compared to $38,707, a difference of 38.7%).

When considering poverty, the most significant differences between Asian and Crow communities in the United States are seen in child poverty under the age of 5 (14.0% compared to 31.0%, a difference of 122.0%), family poverty (7.7% compared to 16.1%, a difference of 108.4%), and single father poverty (14.6% compared to 30.3%, a difference of 108.0%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.0% compared to 15.9%, a difference of 32.8%), receiving food stamps (9.7% compared to 13.4%, a difference of 38.6%), and seniors poverty over the age of 65 (10.4% compared to 15.2%, a difference of 46.3%).

When considering unemployment, the most significant differences between 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 257.8%), unemployment among seniors over 65 years (5.1% compared to 16.9%, a difference of 233.0%), and unemployment among ages 65 to 74 years (5.3% compared to 17.4%, a difference of 230.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 5.0%, a difference of 1.6%), unemployment among women with children ages 6 to 17 years (8.0% compared to 9.2%, a difference of 16.1%), and unemployment among ages 55 to 59 years (4.7% compared to 5.9%, a difference of 24.8%).

When considering labor participation, the most significant differences between Asian and Crow communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 38.5%, a difference of 13.0%), in labor force | age 30-34 (85.1% compared to 75.9%, a difference of 12.1%), and in labor force | age 35-44 (84.7% compared to 76.5%, a difference of 10.7%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.7% compared to 76.9%, a difference of 4.4%), in labor force | age 45-54 (83.4% compared to 78.3%, a difference of 6.5%), and in labor force | age 25-29 (84.8% compared to 78.6%, a difference of 7.9%).

When considering family structure, the most significant differences between Asian and Crow communities in the United States are seen in single father households (2.1% compared to 3.5%, a difference of 67.4%), births to unmarried women (26.8% compared to 40.4%, a difference of 50.7%), and single mother households (5.6% compared to 7.4%, a difference of 33.2%). Conversely, both communities are more comparable in terms of family households (66.5% compared to 65.3%, a difference of 1.9%), family households with children (29.1% compared to 27.4%, a difference of 6.2%), and average family size (3.28 compared to 3.82, a difference of 16.6%).

When considering vehicle availability, the most significant differences between Asian and Crow communities in the United States are seen in no vehicles in household (9.0% compared to 11.0%, a difference of 23.0%), 4 or more vehicles in household (7.0% compared to 7.8%, a difference of 11.0%), and 3 or more vehicles in household (20.8% compared to 22.5%, a difference of 8.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 89.3%, a difference of 2.0%), 2 or more vehicles in household (57.0% compared to 55.7%, a difference of 2.2%), and 3 or more vehicles in household (20.8% compared to 22.5%, a difference of 8.2%).

When considering education level, the most significant differences between Asian and Crow communities in the United States are seen in professional degree (5.5% compared to 3.2%, a difference of 74.4%), master's degree (18.4% compared to 10.6%, a difference of 73.5%), and doctorate degree (2.4% compared to 1.5%, a difference of 64.4%). Conversely, both communities are more comparable in terms of 11th grade (92.5% compared to 92.9%, a difference of 0.41%), high school diploma (89.4% compared to 88.4%, a difference of 1.1%), and 10th grade (93.5% compared to 94.7%, a difference of 1.3%).

When considering disability, the most significant differences between Asian and Crow communities in the United States are seen in disability age 35 to 64 (9.4% compared to 14.6%, a difference of 55.8%), hearing disability (2.7% compared to 4.2%, a difference of 52.2%), and disability age 18 to 34 (5.8% compared to 8.3%, a difference of 41.9%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 17.3%, a difference of 3.5%), disability age over 75 (46.9% compared to 49.6%, a difference of 5.7%), and self-care disability (2.3% compared to 2.5%, a difference of 8.2%).