Peruvian vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 353,057,524 people shows a poor positive correlation between the proportion of Indians (Asian) within Peruvian communities in the United States with a correlation coefficient (R) of 0.168. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.076% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 76.4 Indians (Asian).

When considering income, the most significant differences between Peruvian and Indian (Asian) communities in the United States are seen in per capita income ($44,479 compared to $53,874, a difference of 21.1%), householder income ages 25 - 44 years ($98,886 compared to $119,496, a difference of 20.8%), and median family income ($105,444 compared to $125,312, a difference of 18.8%). Conversely, both communities are more comparable in terms of wage/income gap (25.6% compared to 26.4%, a difference of 3.3%), householder income under 25 years ($56,052 compared to $58,239, a difference of 3.9%), and householder income over 65 years ($62,766 compared to $70,238, a difference of 11.9%).

When considering poverty, the most significant differences between Peruvian and Indian (Asian) communities in the United States are seen in receiving food stamps (11.7% compared to 9.6%, a difference of 22.0%), child poverty under the age of 5 (16.0% compared to 13.4%, a difference of 18.9%), and child poverty among boys under 16 (15.5% compared to 13.3%, a difference of 16.9%). Conversely, both communities are more comparable in terms of male poverty (10.7% compared to 10.4%, a difference of 2.7%), poverty (11.8% compared to 11.3%, a difference of 4.2%), and single father poverty (15.4% compared to 14.8%, a difference of 4.3%).

When considering unemployment, the most significant differences between Peruvian and Indian (Asian) communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.3%, a difference of 19.5%), unemployment among women with children ages 6 to 17 years (9.2% compared to 7.7%, a difference of 19.0%), and unemployment among women with children under 18 years (5.6% compared to 4.9%, a difference of 14.8%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (5.0% compared to 5.0%, a difference of 0.27%), male unemployment (5.3% compared to 5.2%, a difference of 1.6%), and unemployment among ages 45 to 54 years (4.6% compared to 4.5%, a difference of 1.8%).

When considering labor participation, the most significant differences between Peruvian and Indian (Asian) communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 31.9%, a difference of 8.6%), in labor force | age 20-24 (74.5% compared to 71.9%, a difference of 3.7%), and in labor force | age > 16 (66.3% compared to 65.5%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.7%, a difference of 0.020%), in labor force | age 35-44 (84.9% compared to 84.8%, a difference of 0.14%), and in labor force | age 45-54 (83.6% compared to 83.3%, a difference of 0.29%).

When considering family structure, the most significant differences between Peruvian and Indian (Asian) communities in the United States are seen in single mother households (6.5% compared to 5.1%, a difference of 27.9%), single father households (2.4% compared to 1.9%, a difference of 24.9%), and births to unmarried women (31.5% compared to 25.3%, a difference of 24.7%). Conversely, both communities are more comparable in terms of average family size (3.30 compared to 3.24, a difference of 1.7%), married-couple households (47.6% compared to 48.7%, a difference of 2.3%), and currently married (46.6% compared to 48.0%, a difference of 2.9%).

When considering vehicle availability, the most significant differences between Peruvian and Indian (Asian) communities in the United States are seen in no vehicles in household (11.2% compared to 14.1%, a difference of 25.0%), 2 or more vehicles in household (55.0% compared to 53.1%, a difference of 3.5%), and 1 or more vehicles in household (88.8% compared to 86.0%, a difference of 3.3%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.5% compared to 6.4%, a difference of 0.36%), 3 or more vehicles in household (19.6% compared to 19.1%, a difference of 2.7%), and 1 or more vehicles in household (88.8% compared to 86.0%, a difference of 3.3%).

When considering education level, the most significant differences between Peruvian and Indian (Asian) communities in the United States are seen in doctorate degree (1.8% compared to 2.9%, a difference of 62.1%), professional degree (4.5% compared to 6.5%, a difference of 44.7%), and master's degree (15.3% compared to 20.5%, a difference of 33.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.6%, a difference of 0.0%), kindergarten (97.6% compared to 97.6%, a difference of 0.0%), and 2nd grade (97.5% compared to 97.5%, a difference of 0.030%).

When considering disability, the most significant differences between Peruvian and Indian (Asian) communities in the United States are seen in disability age under 5 (1.3% compared to 1.0%, a difference of 25.2%), disability age 5 to 17 (5.3% compared to 4.6%, a difference of 16.3%), and vision disability (2.1% compared to 1.8%, a difference of 12.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.8% compared to 46.5%, a difference of 0.72%), hearing disability (2.7% compared to 2.7%, a difference of 0.90%), and cognitive disability (16.7% compared to 16.8%, a difference of 1.0%).