White/Caucasian vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 362,581,013 people shows a slight negative correlation between the proportion of Peruvians within White/Caucasian communities in the United States with a correlation coefficient (R) of -0.089. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is a decrease of 0.001% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to a decrease of 0.6 Peruvians.

When considering income, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in wage/income gap (28.5% compared to 25.6%, a difference of 11.4%), householder income under 25 years ($50,336 compared to $56,052, a difference of 11.4%), and median household income ($82,029 compared to $90,261, a difference of 10.0%). Conversely, both communities are more comparable in terms of median male earnings ($53,925 compared to $55,659, a difference of 3.2%), median earnings ($45,197 compared to $47,628, a difference of 5.4%), and per capita income ($42,180 compared to $44,479, a difference of 5.4%).

When considering poverty, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in single male poverty (14.5% compared to 11.8%, a difference of 23.0%), female poverty among 18-24 year olds (20.8% compared to 17.2%, a difference of 20.6%), and single father poverty (18.4% compared to 15.4%, a difference of 19.0%). Conversely, both communities are more comparable in terms of family poverty (8.8% compared to 8.8%, a difference of 0.16%), female poverty (13.4% compared to 12.9%, a difference of 3.9%), and poverty (12.3% compared to 11.8%, a difference of 4.0%).

When considering unemployment, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in unemployment among seniors over 75 years (10.1% compared to 9.0%, a difference of 11.3%), unemployment among women with children under 6 years (8.4% compared to 7.5%, a difference of 11.2%), and female unemployment (4.9% compared to 5.4%, a difference of 11.1%). Conversely, both communities are more comparable in terms of unemployment among ages 35 to 44 years (4.6% compared to 4.7%, a difference of 0.78%), unemployment among ages 55 to 59 years (4.7% compared to 4.8%, a difference of 2.9%), and unemployment among ages 20 to 24 years (10.1% compared to 10.5%, a difference of 3.3%).

When considering labor participation, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 34.6%, a difference of 19.4%), in labor force | age > 16 (63.6% compared to 66.3%, a difference of 4.2%), and in labor force | age 20-24 (76.9% compared to 74.5%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.2% compared to 84.7%, a difference of 0.66%), in labor force | age 30-34 (83.9% compared to 84.8%, a difference of 1.1%), and in labor force | age 35-44 (83.6% compared to 84.9%, a difference of 1.5%).

When considering family structure, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in single mother households (6.1% compared to 6.5%, a difference of 7.0%), divorced or separated (12.6% compared to 11.9%, a difference of 6.0%), and family households with children (27.4% compared to 29.0%, a difference of 5.6%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.43%), married-couple households (48.6% compared to 47.6%, a difference of 2.0%), and family households (65.1% compared to 67.1%, a difference of 3.1%).

When considering vehicle availability, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in no vehicles in household (7.0% compared to 11.2%, a difference of 59.9%), 3 or more vehicles in household (22.6% compared to 19.6%, a difference of 15.0%), and 4 or more vehicles in household (7.4% compared to 6.5%, a difference of 14.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 88.8%, a difference of 4.8%), 2 or more vehicles in household (60.8% compared to 55.0%, a difference of 10.6%), and 4 or more vehicles in household (7.4% compared to 6.5%, a difference of 14.1%).

When considering education level, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in no schooling completed (1.6% compared to 2.4%, a difference of 46.5%), master's degree (13.8% compared to 15.3%, a difference of 10.7%), and professional degree (4.1% compared to 4.5%, a difference of 10.6%). Conversely, both communities are more comparable in terms of college, under 1 year (64.0% compared to 64.1%, a difference of 0.090%), nursery school (98.5% compared to 97.6%, a difference of 0.83%), and kindergarten (98.4% compared to 97.6%, a difference of 0.84%).

When considering disability, the most significant differences between White/Caucasian and Peruvian communities in the United States are seen in hearing disability (3.7% compared to 2.7%, a difference of 34.9%), disability age under 5 (1.7% compared to 1.3%, a difference of 32.4%), and disability age 35 to 64 (12.6% compared to 9.9%, a difference of 28.1%). Conversely, both communities are more comparable in terms of disability age over 75 (47.3% compared to 46.8%, a difference of 1.1%), cognitive disability (17.0% compared to 16.7%, a difference of 1.8%), and self-care disability (2.6% compared to 2.4%, a difference of 6.6%).