Crow vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 52,067,705 people shows a moderate positive correlation between the proportion of Peruvians within Crow communities in the United States with a correlation coefficient (R) of 0.484. On average, for every 1% (one percent) increase in Crow within a typical geography, there is an increase of 0.169% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Crow corresponds to an increase of 168.6 Peruvians.

When considering income, the most significant differences between Crow and Peruvian communities in the United States are seen in median household income ($63,681 compared to $90,261, a difference of 41.7%), householder income ages 45 - 64 years ($74,257 compared to $105,070, a difference of 41.5%), and per capita income ($31,729 compared to $44,479, a difference of 40.2%). Conversely, both communities are more comparable in terms of median female earnings ($35,266 compared to $40,234, a difference of 14.1%), householder income under 25 years ($47,012 compared to $56,052, a difference of 19.2%), and median earnings ($38,707 compared to $47,628, a difference of 23.1%).

When considering poverty, the most significant differences between Crow and Peruvian communities in the United States are seen in single male poverty (23.3% compared to 11.8%, a difference of 97.5%), single father poverty (30.3% compared to 15.4%, a difference of 96.3%), and child poverty under the age of 5 (31.0% compared to 16.0%, a difference of 93.8%). Conversely, both communities are more comparable in terms of receiving food stamps (13.4% compared to 11.7%, a difference of 14.2%), seniors poverty over the age of 75 (15.9% compared to 13.4%, a difference of 19.2%), and seniors poverty over the age of 65 (15.2% compared to 11.7%, a difference of 30.1%).

When considering unemployment, the most significant differences between Crow and Peruvian communities in the United States are seen in unemployment among ages 35 to 44 years (15.7% compared to 4.7%, a difference of 236.0%), unemployment among seniors over 65 years (16.9% compared to 5.3%, a difference of 215.3%), and unemployment among ages 65 to 74 years (17.4% compared to 5.5%, a difference of 214.4%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.2% compared to 9.2%, a difference of 0.50%), unemployment among ages 60 to 64 years (5.0% compared to 5.0%, a difference of 1.6%), and unemployment among ages 55 to 59 years (5.9% compared to 4.8%, a difference of 21.3%).

When considering labor participation, the most significant differences between Crow and Peruvian communities in the United States are seen in in labor force | age 30-34 (75.9% compared to 84.8%, a difference of 11.7%), in labor force | age 16-19 (38.5% compared to 34.6%, a difference of 11.3%), and in labor force | age 35-44 (76.5% compared to 84.9%, a difference of 11.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.9% compared to 74.5%, a difference of 3.2%), in labor force | age 45-54 (78.3% compared to 83.6%, a difference of 6.7%), and in labor force | age 25-29 (78.6% compared to 84.7%, a difference of 7.8%).

When considering family structure, the most significant differences between Crow and Peruvian communities in the United States are seen in single father households (3.5% compared to 2.4%, a difference of 47.6%), births to unmarried women (40.4% compared to 31.5%, a difference of 28.1%), and divorced or separated (14.1% compared to 11.9%, a difference of 18.3%). Conversely, both communities are more comparable in terms of family households (65.3% compared to 67.1%, a difference of 2.8%), family households with children (27.4% compared to 29.0%, a difference of 6.0%), and single mother households (7.4% compared to 6.5%, a difference of 14.0%).

When considering vehicle availability, the most significant differences between Crow and Peruvian communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 6.5%, a difference of 20.5%), 3 or more vehicles in household (22.5% compared to 19.6%, a difference of 14.4%), and no vehicles in household (11.0% compared to 11.2%, a difference of 1.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 88.8%, a difference of 0.52%), 2 or more vehicles in household (55.7% compared to 55.0%, a difference of 1.4%), and no vehicles in household (11.0% compared to 11.2%, a difference of 1.9%).

When considering education level, the most significant differences between Crow and Peruvian communities in the United States are seen in no schooling completed (1.6% compared to 2.4%, a difference of 45.7%), master's degree (10.6% compared to 15.3%, a difference of 43.9%), and professional degree (3.2% compared to 4.5%, a difference of 42.7%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (90.0% compared to 90.2%, a difference of 0.17%), high school diploma (88.4% compared to 87.8%, a difference of 0.71%), and ged/equivalency (83.8% compared to 84.7%, a difference of 1.2%).

When considering disability, the most significant differences between Crow and Peruvian communities in the United States are seen in hearing disability (4.2% compared to 2.7%, a difference of 52.5%), disability age 35 to 64 (14.6% compared to 9.9%, a difference of 48.3%), and disability age 18 to 34 (8.3% compared to 6.0%, a difference of 38.5%). Conversely, both communities are more comparable in terms of disability age under 5 (1.2% compared to 1.3%, a difference of 1.2%), disability age 5 to 17 (5.4% compared to 5.3%, a difference of 1.6%), and cognitive disability (17.3% compared to 16.7%, a difference of 4.0%).