Immigrants from Peru vs Immigrants from Asia Community Comparison

The statistical analysis conducted on geographies consisting of 327,769,118 people shows a mild negative correlation between the proportion of Immigrants from Asia within Immigrant from Peru communities in the United States with a correlation coefficient (R) of -0.354. On average, for every 1% (one percent) increase in Immigrants from Peru within a typical geography, there is a decrease of 0.467% in Immigrants from Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Peru corresponds to a decrease of 466.6 Immigrants from Asia.

When considering income, the most significant differences between Immigrants from Peru and Immigrants from Asia communities in the United States are seen in median male earnings ($54,695 compared to $63,240, a difference of 15.6%), median family income ($103,534 compared to $118,291, a difference of 14.2%), and householder income ages 25 - 44 years ($97,329 compared to $110,787, a difference of 13.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($56,384 compared to $56,379, a difference of 0.010%), wage/income gap (25.1% compared to 27.0%, a difference of 7.4%), and householder income over 65 years ($61,988 compared to $67,594, a difference of 9.0%).

When considering poverty, the most significant differences between Immigrants from Peru and Immigrants from Asia communities in the United States are seen in receiving food stamps (12.0% compared to 9.9%, a difference of 21.7%), seniors poverty over the age of 65 (12.0% compared to 10.6%, a difference of 13.2%), and child poverty among boys under 16 (15.7% compared to 13.9%, a difference of 12.6%). Conversely, both communities are more comparable in terms of single male poverty (11.5% compared to 11.4%, a difference of 1.4%), single father poverty (15.3% compared to 14.7%, a difference of 4.1%), and single female poverty (19.3% compared to 18.6%, a difference of 4.3%).

When considering unemployment, the most significant differences between Immigrants from Peru and Immigrants from Asia communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.2% compared to 8.1%, a difference of 13.6%), unemployment among women with children under 6 years (7.5% compared to 6.8%, a difference of 10.7%), and unemployment among women with children under 18 years (5.7% compared to 5.1%, a difference of 10.6%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.4% compared to 10.3%, a difference of 1.6%), unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 1.8%), and unemployment among ages 25 to 29 years (6.5% compared to 6.3%, a difference of 2.5%).

When considering labor participation, the most significant differences between Immigrants from Peru and Immigrants from Asia communities in the United States are seen in in labor force | age 20-24 (74.5% compared to 73.6%, a difference of 1.2%), in labor force | age 35-44 (84.9% compared to 84.5%, a difference of 0.40%), and in labor force | age 30-34 (84.7% compared to 85.0%, a difference of 0.35%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.080%), in labor force | age 16-19 (34.2% compared to 34.1%, a difference of 0.12%), and in labor force | age 45-54 (83.5% compared to 83.3%, a difference of 0.25%).

When considering family structure, the most significant differences between Immigrants from Peru and Immigrants from Asia communities in the United States are seen in births to unmarried women (31.8% compared to 26.8%, a difference of 18.8%), single mother households (6.7% compared to 5.6%, a difference of 18.8%), and single father households (2.4% compared to 2.1%, a difference of 15.0%). Conversely, both communities are more comparable in terms of family households with children (28.9% compared to 28.8%, a difference of 0.29%), average family size (3.31 compared to 3.27, a difference of 1.3%), and family households (67.2% compared to 66.1%, a difference of 1.8%).

When considering vehicle availability, the most significant differences between Immigrants from Peru and Immigrants from Asia communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 6.8%, a difference of 6.1%), no vehicles in household (11.5% compared to 10.9%, a difference of 5.7%), and 3 or more vehicles in household (19.4% compared to 20.2%, a difference of 4.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.6% compared to 89.3%, a difference of 0.71%), 2 or more vehicles in household (54.4% compared to 56.3%, a difference of 3.6%), and 3 or more vehicles in household (19.4% compared to 20.2%, a difference of 4.5%).

When considering education level, the most significant differences between Immigrants from Peru and Immigrants from Asia communities in the United States are seen in doctorate degree (1.7% compared to 2.4%, a difference of 39.8%), professional degree (4.4% compared to 5.5%, a difference of 25.1%), and master's degree (14.9% compared to 18.4%, a difference of 23.5%). Conversely, both communities are more comparable in terms of nursery school (97.5% compared to 97.6%, a difference of 0.10%), kindergarten (97.5% compared to 97.6%, a difference of 0.11%), and 1st grade (97.4% compared to 97.5%, a difference of 0.11%).

When considering disability, the most significant differences between Immigrants from Peru and Immigrants from Asia communities in the United States are seen in disability age under 5 (1.2% compared to 1.1%, a difference of 17.4%), vision disability (2.1% compared to 1.9%, a difference of 9.2%), and disability age 5 to 17 (5.3% compared to 4.8%, a difference of 8.7%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (5.9% compared to 5.9%, a difference of 0.13%), disability age over 75 (46.9% compared to 47.0%, a difference of 0.27%), and cognitive disability (16.6% compared to 16.8%, a difference of 1.3%).