Crow vs African Community Comparison

The statistical analysis conducted on geographies consisting of 56,409,568 people shows a weak negative correlation between the proportion of Africans within Crow communities in the United States with a correlation coefficient (R) of -0.283. On average, for every 1% (one percent) increase in Crow within a typical geography, there is a decrease of 0.006% in Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to a decrease of 5.9 Africans.

When considering income, the most significant differences between Crow and African communities in the United States are seen in wage/income gap (19.1% compared to 22.9%, a difference of 20.4%), per capita income ($31,729 compared to $37,785, a difference of 19.1%), and median family income ($76,605 compared to $87,820, a difference of 14.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($47,012 compared to $46,838, a difference of 0.37%), median female earnings ($35,266 compared to $36,530, a difference of 3.6%), and median earnings ($38,707 compared to $41,955, a difference of 8.4%).

When considering poverty, the most significant differences between Crow and African communities in the United States are seen in single father poverty (30.3% compared to 18.3%, a difference of 65.3%), married-couple family poverty (9.6% compared to 6.0%, a difference of 60.2%), and single male poverty (23.3% compared to 14.7%, a difference of 57.9%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 15.1%, a difference of 12.7%), single mother poverty (38.6% compared to 33.3%, a difference of 16.1%), and seniors poverty over the age of 75 (15.9% compared to 13.6%, a difference of 17.1%).

When considering unemployment, the most significant differences between Crow and African communities in the United States are seen in unemployment among seniors over 65 years (16.9% compared to 5.2%, a difference of 222.0%), unemployment among ages 65 to 74 years (17.4% compared to 5.5%, a difference of 219.2%), and unemployment among ages 35 to 44 years (15.7% compared to 5.6%, a difference of 181.0%). 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 0.46%), unemployment among women with children ages 6 to 17 years (9.2% compared to 10.4%, a difference of 12.5%), and unemployment among ages 55 to 59 years (5.9% compared to 5.1%, a difference of 14.3%).

When considering labor participation, the most significant differences between Crow and African communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 83.4%, a difference of 9.8%), in labor force | age 35-44 (76.5% compared to 82.9%, a difference of 8.4%), and in labor force | age > 16 (60.8% compared to 64.6%, a difference of 6.3%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (38.5% compared to 38.0%, a difference of 1.3%), in labor force | age 20-24 (76.9% compared to 75.0%, a difference of 2.6%), and in labor force | age 45-54 (78.3% compared to 80.5%, a difference of 2.8%).

When considering family structure, the most significant differences between Crow and African communities in the United States are seen in single father households (3.5% compared to 2.5%, a difference of 43.2%), average family size (3.82 compared to 3.25, a difference of 17.5%), and single mother households (7.4% compared to 8.2%, a difference of 9.8%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.2%, a difference of 0.73%), married-couple households (41.4% compared to 40.9%, a difference of 1.0%), and births to unmarried women (40.4% compared to 39.7%, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Crow and African communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 5.8%, a difference of 33.2%), 3 or more vehicles in household (22.5% compared to 18.2%, a difference of 23.6%), and no vehicles in household (11.0% compared to 12.3%, a difference of 11.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 87.8%, a difference of 1.7%), 2 or more vehicles in household (55.7% compared to 51.8%, a difference of 7.5%), and no vehicles in household (11.0% compared to 12.3%, a difference of 11.6%).

When considering education level, the most significant differences between Crow and African communities in the United States are seen in no schooling completed (1.6% compared to 2.2%, a difference of 33.0%), master's degree (10.6% compared to 12.9%, a difference of 21.2%), and bachelor's degree (27.7% compared to 32.9%, a difference of 18.5%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (90.0% compared to 89.6%, a difference of 0.41%), ged/equivalency (83.8% compared to 83.4%, a difference of 0.43%), and college, 1 year or more (54.5% compared to 55.0%, a difference of 0.86%).

When considering disability, the most significant differences between Crow and African communities in the United States are seen in hearing disability (4.2% compared to 3.0%, a difference of 36.8%), disability age 5 to 17 (5.4% compared to 6.5%, a difference of 20.3%), and disability age 18 to 34 (8.3% compared to 7.4%, a difference of 11.9%). Conversely, both communities are more comparable in terms of disability (12.9% compared to 13.0%, a difference of 0.80%), ambulatory disability (6.9% compared to 7.0%, a difference of 0.90%), and disability age over 75 (49.6% compared to 48.9%, a difference of 1.5%).