Immigrants from Western Asia vs Nonimmigrants Community Comparison

The statistical analysis conducted on geographies consisting of 404,456,528 people shows a substantial negative correlation between the proportion of Nonimmigrants within Immigrant from Western Asia communities in the United States with a correlation coefficient (R) of -0.599. On average, for every 1% (one percent) increase in Immigrants from Western Asia within a typical geography, there is a decrease of 0.633% in Nonimmigrants. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Asia corresponds to a decrease of 633.2 Nonimmigrants.

When considering income, the most significant differences between Immigrants from Western Asia and Nonimmigrants communities in the United States are seen in per capita income ($46,876 compared to $40,669, a difference of 15.3%), median household income ($90,005 compared to $79,429, a difference of 13.3%), and median family income ($108,691 compared to $96,231, a difference of 13.0%). Conversely, both communities are more comparable in terms of wage/income gap (26.3% compared to 27.2%, a difference of 3.4%), householder income under 25 years ($52,190 compared to $49,348, a difference of 5.8%), and householder income over 65 years ($62,645 compared to $57,426, a difference of 9.1%).

When considering poverty, the most significant differences between Immigrants from Western Asia and Nonimmigrants communities in the United States are seen in female poverty among 25-34 year olds (12.8% compared to 15.6%, a difference of 22.0%), single female poverty (19.9% compared to 23.6%, a difference of 18.4%), and single father poverty (16.0% compared to 18.8%, a difference of 17.5%). Conversely, both communities are more comparable in terms of male poverty (11.8% compared to 12.1%, a difference of 2.8%), poverty (12.9% compared to 13.3%, a difference of 3.7%), and female poverty (13.9% compared to 14.5%, a difference of 4.5%).

When considering unemployment, the most significant differences between Immigrants from Western Asia and Nonimmigrants communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 8.8%, a difference of 17.4%), unemployment among women with children ages 6 to 17 years (8.7% compared to 10.0%, a difference of 14.9%), and unemployment among ages 30 to 34 years (5.5% compared to 6.1%, a difference of 9.9%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.6% compared to 5.7%, a difference of 0.11%), unemployment among seniors over 65 years (5.2% compared to 5.1%, a difference of 0.39%), and unemployment among ages 65 to 74 years (5.4% compared to 5.4%, a difference of 0.77%).

When considering labor participation, the most significant differences between Immigrants from Western Asia and Nonimmigrants communities in the United States are seen in in labor force | age 16-19 (34.8% compared to 40.1%, a difference of 15.3%), in labor force | age 20-24 (73.5% compared to 76.2%, a difference of 3.6%), and in labor force | age > 16 (65.3% compared to 63.5%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.1% compared to 83.7%, a difference of 0.43%), in labor force | age 35-44 (83.8% compared to 83.2%, a difference of 0.65%), and in labor force | age 30-34 (84.3% compared to 83.5%, a difference of 0.95%).

When considering family structure, the most significant differences between Immigrants from Western Asia and Nonimmigrants communities in the United States are seen in births to unmarried women (27.2% compared to 35.5%, a difference of 30.5%), single father households (2.1% compared to 2.4%, a difference of 18.7%), and single mother households (5.7% compared to 6.7%, a difference of 16.7%). Conversely, both communities are more comparable in terms of currently married (46.9% compared to 46.9%, a difference of 0.050%), married-couple households (46.9% compared to 46.9%, a difference of 0.14%), and family households (64.1% compared to 64.8%, a difference of 1.1%).

When considering vehicle availability, the most significant differences between Immigrants from Western Asia and Nonimmigrants communities in the United States are seen in no vehicles in household (11.0% compared to 7.9%, a difference of 39.9%), 4 or more vehicles in household (5.9% compared to 7.2%, a difference of 21.8%), and 3 or more vehicles in household (18.4% compared to 21.8%, a difference of 18.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.0% compared to 92.2%, a difference of 3.6%), 2 or more vehicles in household (54.1% compared to 58.8%, a difference of 8.6%), and 3 or more vehicles in household (18.4% compared to 21.8%, a difference of 18.3%).

When considering education level, the most significant differences between Immigrants from Western Asia and Nonimmigrants communities in the United States are seen in professional degree (5.4% compared to 3.9%, a difference of 38.7%), doctorate degree (2.2% compared to 1.7%, a difference of 33.7%), and master's degree (17.5% compared to 13.3%, a difference of 31.0%). Conversely, both communities are more comparable in terms of high school diploma (89.1% compared to 89.2%, a difference of 0.040%), 12th grade, no diploma (91.2% compared to 91.0%, a difference of 0.13%), and 11th grade (92.4% compared to 92.7%, a difference of 0.32%).

When considering disability, the most significant differences between Immigrants from Western Asia and Nonimmigrants communities in the United States are seen in disability age under 5 (1.1% compared to 1.6%, a difference of 45.3%), disability age 18 to 34 (6.1% compared to 7.6%, a difference of 25.7%), and disability age 35 to 64 (10.4% compared to 13.0%, a difference of 25.5%). Conversely, both communities are more comparable in terms of cognitive disability (17.4% compared to 17.4%, a difference of 0.070%), disability age over 75 (48.0% compared to 48.0%, a difference of 0.090%), and self-care disability (2.6% compared to 2.6%, a difference of 1.1%).