Crow vs Asian Community Comparison

The statistical analysis conducted on geographies consisting of 58,780,364 people shows a mild negative correlation between the proportion of Asians within Crow communities in the United States with a correlation coefficient (R) of -0.306. On average, for every 1% (one percent) increase in Crow within a typical geography, there is a decrease of 0.059% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to a decrease of 59.2 Asians.

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

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

When considering unemployment, the most significant differences between Crow and Asian communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.4%, a difference of 257.8%), unemployment among seniors over 65 years (16.9% compared to 5.1%, a difference of 233.0%), and unemployment among ages 65 to 74 years (17.4% compared to 5.3%, a difference of 230.7%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 1.6%), unemployment among women with children ages 6 to 17 years (9.2% compared to 8.0%, a difference of 16.1%), and unemployment among ages 55 to 59 years (5.9% compared to 4.7%, a difference of 24.8%).

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

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

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

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

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