Nonimmigrants vs Crow Community Comparison

The statistical analysis conducted on geographies consisting of 58,982,179 people shows a mild positive correlation between the proportion of Crow within Nonimmigrant communities in the United States with a correlation coefficient (R) of 0.327. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is an increase of 0.003% in Crow. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to an increase of 2.5 Crow.

When considering income, the most significant differences between Nonimmigrants and Crow communities in the United States are seen in wage/income gap (27.2% compared to 19.1%, a difference of 42.6%), per capita income ($40,669 compared to $31,729, a difference of 28.2%), and householder income ages 45 - 64 years ($94,448 compared to $74,257, a difference of 27.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($49,348 compared to $47,012, a difference of 5.0%), median female earnings ($37,024 compared to $35,266, a difference of 5.0%), and median earnings ($44,117 compared to $38,707, a difference of 14.0%).

When considering poverty, the most significant differences between Nonimmigrants and Crow communities in the United States are seen in married-couple family poverty (5.3% compared to 9.6%, a difference of 80.1%), family poverty (9.8% compared to 16.1%, a difference of 64.7%), and single father poverty (18.8% compared to 30.3%, a difference of 60.7%). Conversely, both communities are more comparable in terms of receiving food stamps (12.4% compared to 13.4%, a difference of 8.5%), single mother poverty (32.2% compared to 38.6%, a difference of 20.1%), and seniors poverty over the age of 75 (12.2% compared to 15.9%, a difference of 30.4%).

When considering unemployment, the most significant differences between Nonimmigrants and Crow communities in the United States are seen in unemployment among seniors over 65 years (5.1% compared to 16.9%, a difference of 228.0%), unemployment among ages 65 to 74 years (5.4% compared to 17.4%, a difference of 222.1%), and unemployment among ages 35 to 44 years (4.9% compared to 15.7%, a difference of 222.1%). 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 1.8%), unemployment among women with children ages 6 to 17 years (10.0% compared to 9.2%, a difference of 8.3%), and unemployment among ages 55 to 59 years (4.9% compared to 5.9%, a difference of 19.4%).

When considering labor participation, the most significant differences between Nonimmigrants and Crow communities in the United States are seen in in labor force | age 30-34 (83.5% compared to 75.9%, a difference of 10.0%), in labor force | age 35-44 (83.2% compared to 76.5%, a difference of 8.8%), and in labor force | age 20-64 (78.1% compared to 73.3%, a difference of 6.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.2% compared to 76.9%, a difference of 0.90%), in labor force | age 45-54 (81.2% compared to 78.3%, a difference of 3.7%), and in labor force | age 16-19 (40.1% compared to 38.5%, a difference of 4.1%).

When considering family structure, the most significant differences between Nonimmigrants and Crow communities in the United States are seen in single father households (2.4% compared to 3.5%, a difference of 43.7%), average family size (3.19 compared to 3.82, a difference of 20.0%), and currently married (46.9% compared to 40.4%, a difference of 16.2%). Conversely, both communities are more comparable in terms of family households with children (27.5% compared to 27.4%, a difference of 0.58%), family households (64.8% compared to 65.3%, a difference of 0.78%), and divorced or separated (12.8% compared to 14.1%, a difference of 10.4%).

When considering vehicle availability, the most significant differences between Nonimmigrants and Crow communities in the United States are seen in no vehicles in household (7.9% compared to 11.0%, a difference of 39.7%), 4 or more vehicles in household (7.2% compared to 7.8%, a difference of 7.7%), and 2 or more vehicles in household (58.8% compared to 55.7%, a difference of 5.4%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (21.8% compared to 22.5%, a difference of 3.2%), 1 or more vehicles in household (92.2% compared to 89.3%, a difference of 3.3%), and 2 or more vehicles in household (58.8% compared to 55.7%, a difference of 5.4%).

When considering education level, the most significant differences between Nonimmigrants and Crow communities in the United States are seen in master's degree (13.3% compared to 10.6%, a difference of 25.4%), professional degree (3.9% compared to 3.2%, a difference of 23.5%), and bachelor's degree (34.2% compared to 27.7%, a difference of 23.1%). Conversely, both communities are more comparable in terms of 11th grade (92.7% compared to 92.9%, a difference of 0.24%), 10th grade (94.1% compared to 94.7%, a difference of 0.66%), and 9th grade (95.3% compared to 96.1%, a difference of 0.80%).

When considering disability, the most significant differences between Nonimmigrants and Crow communities in the United States are seen in disability age under 5 (1.6% compared to 1.2%, a difference of 29.6%), disability age 5 to 17 (6.3% compared to 5.4%, a difference of 17.0%), and hearing disability (3.6% compared to 4.2%, a difference of 16.3%). Conversely, both communities are more comparable in terms of cognitive disability (17.4% compared to 17.3%, a difference of 0.38%), vision disability (2.5% compared to 2.5%, a difference of 0.63%), and ambulatory disability (6.9% compared to 6.9%, a difference of 0.82%).