Crow vs Pima Community Comparison

The statistical analysis conducted on geographies consisting of 26,572,023 people shows a significant positive correlation between the proportion of Pima within Crow communities in the United States with a correlation coefficient (R) of 0.678. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 0.093% in Pima. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 92.7 Pima.

When considering income, the most significant differences between Crow and Pima communities in the United States are seen in householder income ages 25 - 44 years ($71,337 compared to $82,821, a difference of 16.1%), wage/income gap (19.1% compared to 21.1%, a difference of 10.8%), and householder income under 25 years ($47,012 compared to $51,503, a difference of 9.6%). Conversely, both communities are more comparable in terms of median female earnings ($35,266 compared to $35,326, a difference of 0.17%), median male earnings ($42,434 compared to $42,357, a difference of 0.18%), and median household income ($63,681 compared to $63,262, a difference of 0.66%).

When considering poverty, the most significant differences between Crow and Pima communities in the United States are seen in single father poverty (30.3% compared to 14.8%, a difference of 105.1%), seniors poverty over the age of 75 (15.9% compared to 23.9%, a difference of 49.8%), and receiving food stamps (13.4% compared to 19.0%, a difference of 41.3%). Conversely, both communities are more comparable in terms of single mother poverty (38.6% compared to 38.6%, a difference of 0.090%), poverty (20.7% compared to 21.9%, a difference of 5.8%), and male poverty (19.1% compared to 20.4%, a difference of 6.5%).

When considering unemployment, the most significant differences between Crow and Pima communities in the United States are seen in unemployment among seniors over 65 years (16.9% compared to 6.3%, a difference of 169.0%), unemployment among ages 65 to 74 years (17.4% compared to 6.6%, a difference of 163.2%), and unemployment among ages 45 to 54 years (13.7% compared to 6.4%, a difference of 113.4%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 4.8%, a difference of 3.6%), unemployment among ages 30 to 34 years (10.3% compared to 9.6%, a difference of 7.2%), and unemployment among women with children under 6 years (14.6% compared to 13.4%, a difference of 8.9%).

When considering labor participation, the most significant differences between Crow and Pima communities in the United States are seen in in labor force | age 16-19 (38.5% compared to 34.1%, a difference of 12.9%), in labor force | age 20-24 (76.9% compared to 69.0%, a difference of 11.4%), and in labor force | age 45-54 (78.3% compared to 72.8%, a difference of 7.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (76.5% compared to 74.8%, a difference of 2.2%), in labor force | age 30-34 (75.9% compared to 79.0%, a difference of 4.1%), and in labor force | age 25-29 (78.6% compared to 74.3%, a difference of 5.8%).

When considering family structure, the most significant differences between Crow and Pima communities in the United States are seen in births to unmarried women (40.4% compared to 51.5%, a difference of 27.6%), single father households (3.5% compared to 4.2%, a difference of 18.8%), and married-couple households (41.4% compared to 35.6%, a difference of 16.3%). Conversely, both communities are more comparable in terms of family households with children (27.4% compared to 27.1%, a difference of 0.95%), family households (65.3% compared to 65.9%, a difference of 1.0%), and average family size (3.82 compared to 3.75, a difference of 2.1%).

When considering vehicle availability, the most significant differences between Crow and Pima communities in the United States are seen in no vehicles in household (11.0% compared to 14.1%, a difference of 28.0%), 2 or more vehicles in household (55.7% compared to 52.0%, a difference of 7.2%), and 1 or more vehicles in household (89.3% compared to 86.3%, a difference of 3.5%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (7.8% compared to 7.9%, a difference of 1.1%), 3 or more vehicles in household (22.5% compared to 22.0%, a difference of 2.0%), and 1 or more vehicles in household (89.3% compared to 86.3%, a difference of 3.5%).

When considering education level, the most significant differences between Crow and Pima communities in the United States are seen in no schooling completed (1.6% compared to 2.1%, a difference of 29.0%), associate's degree (37.6% compared to 30.2%, a difference of 24.3%), and bachelor's degree (27.7% compared to 23.2%, a difference of 19.6%). Conversely, both communities are more comparable in terms of nursery school (99.7% compared to 98.2%, a difference of 1.4%), kindergarten (99.7% compared to 98.2%, a difference of 1.5%), and 1st grade (99.6% compared to 98.2%, a difference of 1.5%).

When considering disability, the most significant differences between Crow and Pima communities in the United States are seen in disability age 65 to 74 (27.9% compared to 38.6%, a difference of 38.2%), vision disability (2.5% compared to 3.3%, a difference of 33.5%), and ambulatory disability (6.9% compared to 8.2%, a difference of 19.4%). Conversely, both communities are more comparable in terms of male disability (13.1% compared to 12.8%, a difference of 2.2%), disability (12.9% compared to 13.7%, a difference of 6.2%), and disability age 18 to 34 (8.3% compared to 7.7%, a difference of 7.0%).