European vs Immigrants from South Central Asia Community Comparison

The statistical analysis conducted on geographies consisting of 468,227,513 people shows a substantial negative correlation between the proportion of Immigrants from South Central Asia within European communities in the United States with a correlation coefficient (R) of -0.560. On average, for every 1% (one percent) increase in Europeans within a typical geography, there is a decrease of 0.041% in Immigrants from South Central Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Europeans corresponds to a decrease of 41.0 Immigrants from South Central Asia.

When considering income, the most significant differences between European and Immigrants from South Central Asia communities in the United States are seen in median male earnings ($57,637 compared to $68,960, a difference of 19.7%), median household income ($88,751 compared to $106,057, a difference of 19.5%), and median earnings ($47,915 compared to $57,114, a difference of 19.2%). Conversely, both communities are more comparable in terms of wage/income gap (29.4% compared to 29.3%, a difference of 0.19%), householder income over 65 years ($63,779 compared to $70,103, a difference of 9.9%), and householder income under 25 years ($51,796 compared to $57,818, a difference of 11.6%).

When considering poverty, the most significant differences between European and Immigrants from South Central Asia communities in the United States are seen in female poverty among 25-34 year olds (13.2% compared to 10.8%, a difference of 22.7%), single male poverty (13.3% compared to 10.9%, a difference of 21.4%), and child poverty under the age of 5 (15.9% compared to 13.3%, a difference of 19.9%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.2% compared to 4.3%, a difference of 2.0%), seniors poverty over the age of 65 (9.2% compared to 9.7%, a difference of 5.4%), and family poverty (7.7% compared to 7.2%, a difference of 7.3%).

When considering unemployment, the most significant differences between European and Immigrants from South Central Asia communities in the United States are seen in unemployment among seniors over 75 years (9.7% compared to 8.2%, a difference of 17.8%), unemployment among women with children under 6 years (7.5% compared to 6.6%, a difference of 13.2%), and unemployment among women with children ages 6 to 17 years (8.7% compared to 7.9%, a difference of 9.9%). Conversely, both communities are more comparable in terms of male unemployment (4.8% compared to 4.8%, a difference of 0.30%), unemployment among ages 16 to 19 years (16.1% compared to 16.2%, a difference of 0.70%), and unemployment among ages 55 to 59 years (4.5% compared to 4.6%, a difference of 1.4%).

When considering labor participation, the most significant differences between European and Immigrants from South Central Asia communities in the United States are seen in in labor force | age 16-19 (41.1% compared to 34.6%, a difference of 19.0%), in labor force | age 20-24 (77.1% compared to 74.0%, a difference of 4.2%), and in labor force | age > 16 (64.7% compared to 67.1%, a difference of 3.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.6% compared to 85.2%, a difference of 0.78%), in labor force | age 30-34 (84.3% compared to 85.1%, a difference of 0.95%), and in labor force | age 35-44 (84.1% compared to 85.0%, a difference of 1.0%).

When considering family structure, the most significant differences between European and Immigrants from South Central Asia communities in the United States are seen in births to unmarried women (30.2% compared to 24.7%, a difference of 22.5%), divorced or separated (12.2% compared to 10.4%, a difference of 17.3%), and single father households (2.3% compared to 2.0%, a difference of 15.8%). Conversely, both communities are more comparable in terms of currently married (49.3% compared to 50.0%, a difference of 1.4%), family households (65.0% compared to 66.4%, a difference of 2.1%), and married-couple households (49.6% compared to 50.6%, a difference of 2.2%).

When considering vehicle availability, the most significant differences between European and Immigrants from South Central Asia communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 6.1%, a difference of 24.1%), no vehicles in household (7.1% compared to 8.6%, a difference of 20.4%), and 3 or more vehicles in household (22.9% compared to 19.3%, a difference of 18.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.0% compared to 91.5%, a difference of 1.7%), 2 or more vehicles in household (61.4% compared to 56.6%, a difference of 8.4%), and 3 or more vehicles in household (22.9% compared to 19.3%, a difference of 18.2%).

When considering education level, the most significant differences between European and Immigrants from South Central Asia communities in the United States are seen in no schooling completed (1.5% compared to 2.0%, a difference of 34.9%), master's degree (15.8% compared to 20.7%, a difference of 31.1%), and doctorate degree (2.1% compared to 2.6%, a difference of 26.1%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (93.1% compared to 92.6%, a difference of 0.47%), ged/equivalency (87.9% compared to 88.4%, a difference of 0.51%), and nursery school (98.6% compared to 98.0%, a difference of 0.57%).

When considering disability, the most significant differences between European and Immigrants from South Central Asia communities in the United States are seen in disability age under 5 (1.5% compared to 1.0%, a difference of 47.9%), hearing disability (3.5% compared to 2.6%, a difference of 36.0%), and disability age 35 to 64 (11.7% compared to 8.9%, a difference of 32.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.7% compared to 46.0%, a difference of 1.6%), cognitive disability (17.0% compared to 16.4%, a difference of 3.6%), and self-care disability (2.4% compared to 2.2%, a difference of 8.3%).