African vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 56,409,251 people shows no correlation between the proportion of Crow within African communities in the United States with a correlation coefficient (R) of 0.012. On average, for every 1% (one percent) increase in Africans 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 Africans corresponds to an increase of 0.1 Crow.

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

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

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

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

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

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

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

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