Indian (Asian) vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 352,898,970 people shows a slight negative correlation between the proportion of Peruvians within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.099. On average, for every 1% (one percent) increase in Indians (Asian) 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 Indians (Asian) corresponds to a decrease of 1.3 Peruvians.

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

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

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

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

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

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

When considering education level, the most significant differences between Indian (Asian) and Peruvian communities in the United States are seen in doctorate degree (2.9% compared to 1.8%, a difference of 62.1%), professional degree (6.5% compared to 4.5%, a difference of 44.7%), and master's degree (20.5% compared to 15.3%, 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 Indian (Asian) and Peruvian communities in the United States are seen in disability age under 5 (1.0% compared to 1.3%, a difference of 25.2%), disability age 5 to 17 (4.6% compared to 5.3%, a difference of 16.3%), and vision disability (1.8% compared to 2.1%, a difference of 12.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.8%, a difference of 0.72%), hearing disability (2.7% compared to 2.7%, a difference of 0.90%), and cognitive disability (16.8% compared to 16.7%, a difference of 1.0%).