Peruvian vs White/Caucasian Community Comparison

The statistical analysis conducted on geographies consisting of 363,263,153 people shows a weak positive correlation between the proportion of Whites/Caucasians within Peruvian communities in the United States with a correlation coefficient (R) of 0.248. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.753% in Whites/Caucasians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 752.7 Whites/Caucasians.

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

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

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

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

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

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

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

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