Peruvian vs Asian Community Comparison

The statistical analysis conducted on geographies consisting of 361,520,215 people shows a moderate negative correlation between the proportion of Asians within Peruvian communities in the United States with a correlation coefficient (R) of -0.429. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is a decrease of 0.407% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to a decrease of 407.1 Asians.

When considering income, the most significant differences between Peruvian and Asian communities in the United States are seen in median male earnings ($55,659 compared to $63,827, a difference of 14.7%), householder income ages 25 - 44 years ($98,886 compared to $112,666, a difference of 13.9%), and median family income ($105,444 compared to $119,955, a difference of 13.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($56,052 compared to $57,003, a difference of 1.7%), wage/income gap (25.6% compared to 26.9%, a difference of 5.2%), and householder income over 65 years ($62,766 compared to $68,822, a difference of 9.7%).

When considering poverty, the most significant differences between Peruvian and Asian communities in the United States are seen in receiving food stamps (11.7% compared to 9.7%, a difference of 21.3%), child poverty among boys under 16 (15.5% compared to 13.5%, a difference of 14.7%), and child poverty under the age of 5 (16.0% compared to 14.0%, a difference of 14.6%). Conversely, both communities are more comparable in terms of single male poverty (11.8% compared to 11.2%, a difference of 5.1%), female poverty among 18-24 year olds (17.2% compared to 18.2%, a difference of 5.6%), and single mother poverty (27.5% compared to 26.0%, a difference of 5.9%).

When considering unemployment, the most significant differences between Peruvian and Asian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.2% compared to 8.0%, a difference of 15.5%), unemployment among women with children under 6 years (7.5% compared to 6.7%, a difference of 12.7%), and unemployment among women with children under 18 years (5.6% compared to 5.1%, a difference of 11.1%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.5% compared to 10.2%, a difference of 2.6%), unemployment among ages 55 to 59 years (4.8% compared to 4.7%, a difference of 2.9%), and unemployment among ages 60 to 64 years (5.0% compared to 4.9%, a difference of 3.3%).

When considering labor participation, the most significant differences between Peruvian and Asian communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 34.1%, a difference of 1.6%), in labor force | age 20-24 (74.5% compared to 73.7%, a difference of 1.2%), and in labor force | age 30-34 (84.8% compared to 85.1%, a difference of 0.35%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.3% compared to 66.2%, a difference of 0.11%), in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.12%), and in labor force | age 45-54 (83.6% compared to 83.4%, a difference of 0.13%).

When considering family structure, the most significant differences between Peruvian and Asian communities in the United States are seen in births to unmarried women (31.5% compared to 26.8%, a difference of 17.6%), single mother households (6.5% compared to 5.6%, a difference of 16.9%), and single father households (2.4% compared to 2.1%, a difference of 13.4%). Conversely, both communities are more comparable in terms of family households with children (29.0% compared to 29.1%, a difference of 0.19%), average family size (3.30 compared to 3.28, a difference of 0.60%), and family households (67.1% compared to 66.5%, a difference of 0.92%).

When considering vehicle availability, the most significant differences between Peruvian and Asian communities in the United States are seen in no vehicles in household (11.2% compared to 9.0%, a difference of 25.3%), 4 or more vehicles in household (6.5% compared to 7.0%, a difference of 8.6%), and 3 or more vehicles in household (19.6% compared to 20.8%, a difference of 5.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 91.1%, a difference of 2.5%), 2 or more vehicles in household (55.0% compared to 57.0%, a difference of 3.6%), and 3 or more vehicles in household (19.6% compared to 20.8%, a difference of 5.7%).

When considering education level, the most significant differences between Peruvian and Asian communities in the United States are seen in doctorate degree (1.8% compared to 2.4%, a difference of 35.3%), professional degree (4.5% compared to 5.5%, a difference of 22.2%), and master's degree (15.3% compared to 18.4%, a difference of 20.6%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.6%, a difference of 0.010%), kindergarten (97.6% compared to 97.6%, a difference of 0.010%), and 1st grade (97.6% compared to 97.6%, a difference of 0.010%).

When considering disability, the most significant differences between Peruvian and Asian communities in the United States are seen in disability age under 5 (1.3% compared to 1.1%, a difference of 15.6%), disability age 5 to 17 (5.3% compared to 4.8%, a difference of 10.5%), and vision disability (2.1% compared to 1.9%, a difference of 9.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.8% compared to 46.9%, a difference of 0.21%), hearing disability (2.7% compared to 2.7%, a difference of 0.26%), and cognitive disability (16.7% compared to 16.7%, a difference of 0.46%).