Immigrants from Western Asia vs Immigrants from Peru Community Comparison

The statistical analysis conducted on geographies consisting of 294,574,122 people shows a mild negative correlation between the proportion of Immigrants from Peru within Immigrant from Western Asia communities in the United States with a correlation coefficient (R) of -0.356. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is a decrease of 0.011% in Immigrants from Peru. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Asia corresponds to a decrease of 10.9 Immigrants from Peru.

When considering income, the most significant differences between Immigrants from Western Asia and Immigrants from Peru communities in the United States are seen in householder income under 25 years ($52,190 compared to $56,384, a difference of 8.0%), per capita income ($46,876 compared to $43,852, a difference of 6.9%), and median male earnings ($58,131 compared to $54,695, a difference of 6.3%). Conversely, both communities are more comparable in terms of householder income over 65 years ($62,645 compared to $61,988, a difference of 1.1%), median household income ($90,005 compared to $89,010, a difference of 1.1%), and householder income ages 25 - 44 years ($99,516 compared to $97,329, a difference of 2.2%).

When considering poverty, the most significant differences between Immigrants from Western Asia and Immigrants from Peru communities in the United States are seen in female poverty among 18-24 year olds (20.3% compared to 16.9%, a difference of 20.4%), married-couple family poverty (6.0% compared to 5.4%, a difference of 10.1%), and male poverty (11.8% compared to 10.7%, a difference of 9.9%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (12.8% compared to 12.7%, a difference of 0.57%), single mother poverty (28.3% compared to 27.5%, a difference of 2.8%), and single female poverty (19.9% compared to 19.3%, a difference of 3.0%).

When considering unemployment, the most significant differences between Immigrants from Western Asia and Immigrants from Peru communities in the United States are seen in unemployment among ages 45 to 54 years (4.8% compared to 4.6%, a difference of 5.5%), unemployment among women with children ages 6 to 17 years (8.7% compared to 9.2%, a difference of 5.4%), and male unemployment (5.6% compared to 5.3%, a difference of 4.5%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (7.5% compared to 7.5%, a difference of 0.40%), unemployment among ages 30 to 34 years (5.5% compared to 5.5%, a difference of 0.70%), and unemployment among women with children under 18 years (5.6% compared to 5.7%, a difference of 0.78%).

When considering labor participation, the most significant differences between Immigrants from Western Asia and Immigrants from Peru communities in the United States are seen in in labor force | age 16-19 (34.8% compared to 34.2%, a difference of 1.8%), in labor force | age > 16 (65.3% compared to 66.3%, a difference of 1.6%), and in labor force | age 20-64 (79.2% compared to 80.3%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (84.3% compared to 84.7%, a difference of 0.44%), in labor force | age 25-29 (84.1% compared to 84.7%, a difference of 0.73%), and in labor force | age 20-24 (73.5% compared to 74.5%, a difference of 1.3%).

When considering family structure, the most significant differences between Immigrants from Western Asia and Immigrants from Peru communities in the United States are seen in births to unmarried women (27.2% compared to 31.8%, a difference of 16.9%), single father households (2.1% compared to 2.4%, a difference of 16.5%), and single mother households (5.7% compared to 6.7%, a difference of 16.2%). Conversely, both communities are more comparable in terms of married-couple households (46.9% compared to 47.3%, a difference of 0.76%), currently married (46.9% compared to 46.4%, a difference of 1.1%), and average family size (3.26 compared to 3.31, a difference of 1.7%).

When considering vehicle availability, the most significant differences between Immigrants from Western Asia and Immigrants from Peru communities in the United States are seen in 4 or more vehicles in household (5.9% compared to 6.4%, a difference of 7.8%), 3 or more vehicles in household (18.4% compared to 19.4%, a difference of 5.2%), and no vehicles in household (11.0% compared to 11.5%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 88.6%, a difference of 0.41%), 2 or more vehicles in household (54.1% compared to 54.4%, a difference of 0.50%), and no vehicles in household (11.0% compared to 11.5%, a difference of 4.0%).

When considering education level, the most significant differences between Immigrants from Western Asia and Immigrants from Peru communities in the United States are seen in doctorate degree (2.2% compared to 1.7%, a difference of 29.5%), professional degree (5.4% compared to 4.4%, a difference of 22.8%), and master's degree (17.5% compared to 14.9%, a difference of 17.1%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 97.5%, a difference of 0.18%), kindergarten (97.7% compared to 97.5%, a difference of 0.19%), and 1st grade (97.6% compared to 97.4%, a difference of 0.19%).

When considering disability, the most significant differences between Immigrants from Western Asia and Immigrants from Peru communities in the United States are seen in disability age under 5 (1.1% compared to 1.2%, a difference of 12.8%), self-care disability (2.6% compared to 2.4%, a difference of 8.1%), and hearing disability (2.9% compared to 2.7%, a difference of 6.2%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 46.9%, a difference of 2.4%), vision disability (2.0% compared to 2.1%, a difference of 2.5%), and male disability (10.6% compared to 10.3%, a difference of 3.0%).