Immigrants from Eastern Asia vs Slovene Community Comparison

The statistical analysis conducted on geographies consisting of 253,337,831 people shows a substantial negative correlation between the proportion of Slovenes within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of -0.526. On average, for every 1% (one percent) increase in Immigrants from Eastern Asia within a typical geography, there is a decrease of 0.002% in Slovenes. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Asia corresponds to a decrease of 1.6 Slovenes.

When considering income, the most significant differences between Immigrants from Eastern Asia and Slovene communities in the United States are seen in median household income ($104,796 compared to $85,562, a difference of 22.5%), householder income ages 25 - 44 years ($118,056 compared to $96,439, a difference of 22.4%), and householder income ages 45 - 64 years ($122,222 compared to $102,885, a difference of 18.8%). Conversely, both communities are more comparable in terms of wage/income gap (27.1% compared to 28.3%, a difference of 4.5%), householder income under 25 years ($57,123 compared to $50,886, a difference of 12.3%), and householder income over 65 years ($69,872 compared to $60,241, a difference of 16.0%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Slovene communities in the United States are seen in married-couple family poverty (4.8% compared to 3.8%, a difference of 24.7%), seniors poverty over the age of 75 (12.8% compared to 10.6%, a difference of 21.1%), and seniors poverty over the age of 65 (11.1% compared to 9.3%, a difference of 19.6%). Conversely, both communities are more comparable in terms of female poverty (12.2% compared to 12.0%, a difference of 2.0%), family poverty (7.7% compared to 7.5%, a difference of 2.3%), and female poverty among 18-24 year olds (19.8% compared to 19.3%, a difference of 2.4%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Slovene communities in the United States are seen in unemployment among seniors over 75 years (7.9% compared to 9.3%, a difference of 17.7%), unemployment among women with children ages 6 to 17 years (7.7% compared to 9.1%, a difference of 17.2%), and unemployment among women with children under 6 years (6.3% compared to 7.4%, a difference of 17.1%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 5.2%, a difference of 0.40%), unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.75%), and unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 1.7%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Slovene communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 43.7%, a difference of 36.4%), in labor force | age 20-24 (71.8% compared to 78.7%, a difference of 9.6%), and in labor force | age 25-29 (84.8% compared to 86.4%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.6%, a difference of 0.24%), in labor force | age 45-54 (83.4% compared to 83.9%, a difference of 0.67%), and in labor force | age 20-64 (79.9% compared to 80.5%, a difference of 0.71%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Slovene communities in the United States are seen in births to unmarried women (25.0% compared to 31.2%, a difference of 24.5%), divorced or separated (10.2% compared to 12.3%, a difference of 19.7%), and single father households (1.9% compared to 2.2%, a difference of 14.3%). Conversely, both communities are more comparable in terms of currently married (48.2% compared to 48.1%, a difference of 0.14%), married-couple households (48.8% compared to 47.1%, a difference of 3.5%), and family households (64.9% compared to 62.4%, a difference of 4.0%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Slovene communities in the United States are seen in no vehicles in household (13.5% compared to 8.0%, a difference of 68.5%), 2 or more vehicles in household (53.2% compared to 58.3%, a difference of 9.5%), and 3 or more vehicles in household (18.8% compared to 20.2%, a difference of 7.0%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.2% compared to 6.3%, a difference of 1.9%), 1 or more vehicles in household (86.5% compared to 92.0%, a difference of 6.4%), and 3 or more vehicles in household (18.8% compared to 20.2%, a difference of 7.0%).

When considering education level, the most significant differences between Immigrants from Eastern Asia and Slovene communities in the United States are seen in no schooling completed (2.4% compared to 1.4%, a difference of 73.6%), doctorate degree (3.0% compared to 1.9%, a difference of 56.2%), and professional degree (6.6% compared to 4.6%, a difference of 43.0%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 98.7%, a difference of 1.1%), kindergarten (97.6% compared to 98.7%, a difference of 1.1%), and 1st grade (97.6% compared to 98.7%, a difference of 1.1%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Slovene communities in the United States are seen in disability age under 5 (1.0% compared to 1.4%, a difference of 37.1%), disability age 18 to 34 (5.6% compared to 7.3%, a difference of 31.7%), and disability age 5 to 17 (4.6% compared to 6.0%, a difference of 30.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.2% compared to 45.6%, a difference of 1.2%), cognitive disability (16.8% compared to 16.5%, a difference of 2.1%), and self-care disability (2.3% compared to 2.4%, a difference of 3.5%).