Immigrants from Eastern Asia vs Soviet Union Community Comparison

The statistical analysis conducted on geographies consisting of 43,330,179 people shows a weak positive correlation between the proportion of Soviet Union within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of 0.297. On average, for every 1% (one percent) increase in Immigrants from Eastern Asia within a typical geography, there is an increase of 0.003% in Soviet Union. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Asia corresponds to an increase of 2.9 Soviet Union.

When considering income, the most significant differences between Immigrants from Eastern Asia and Soviet Union communities in the United States are seen in wage/income gap (27.1% compared to 24.2%, a difference of 11.8%), householder income over 65 years ($69,872 compared to $62,848, a difference of 11.2%), and median household income ($104,796 compared to $95,098, a difference of 10.2%). Conversely, both communities are more comparable in terms of median female earnings ($46,502 compared to $46,556, a difference of 0.11%), per capita income ($53,806 compared to $54,202, a difference of 0.74%), and householder income under 25 years ($57,123 compared to $55,340, a difference of 3.2%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Soviet Union communities in the United States are seen in receiving food stamps (9.3% compared to 11.1%, a difference of 19.0%), seniors poverty over the age of 65 (11.1% compared to 12.6%, a difference of 13.5%), and seniors poverty over the age of 75 (12.8% compared to 14.5%, a difference of 13.2%). Conversely, both communities are more comparable in terms of single male poverty (11.4% compared to 11.5%, a difference of 0.38%), female poverty among 18-24 year olds (19.8% compared to 19.5%, a difference of 1.4%), and married-couple family poverty (4.8% compared to 4.9%, a difference of 1.5%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Soviet Union communities in the United States are seen in unemployment among seniors over 75 years (7.9% compared to 6.6%, a difference of 18.6%), unemployment among ages 20 to 24 years (10.3% compared to 11.7%, a difference of 14.0%), and unemployment among ages 35 to 44 years (4.4% compared to 4.8%, a difference of 10.0%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.16%), unemployment among ages 25 to 29 years (6.2% compared to 6.2%, a difference of 0.61%), and unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 0.77%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Soviet Union communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 31.4%, a difference of 1.9%), in labor force | age > 16 (65.7% compared to 65.0%, a difference of 0.93%), and in labor force | age 20-24 (71.8% compared to 72.3%, a difference of 0.66%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.5%, a difference of 0.11%), in labor force | age 20-64 (79.9% compared to 80.2%, a difference of 0.41%), and in labor force | age 45-54 (83.4% compared to 83.0%, a difference of 0.45%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Soviet Union communities in the United States are seen in family households with children (27.7% compared to 24.8%, a difference of 11.4%), married-couple households (48.8% compared to 44.6%, a difference of 9.2%), and divorced or separated (10.2% compared to 11.1%, a difference of 8.9%). Conversely, both communities are more comparable in terms of single mother households (5.1% compared to 5.1%, a difference of 0.40%), average family size (3.22 compared to 3.11, a difference of 3.5%), and currently married (48.2% compared to 46.2%, a difference of 4.4%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Soviet Union communities in the United States are seen in 4 or more vehicles in household (6.2% compared to 4.4%, a difference of 40.4%), 3 or more vehicles in household (18.8% compared to 14.2%, a difference of 32.8%), and no vehicles in household (13.5% compared to 17.4%, a difference of 28.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.5% compared to 82.7%, a difference of 4.7%), 2 or more vehicles in household (53.2% compared to 45.7%, a difference of 16.4%), and no vehicles in household (13.5% compared to 17.4%, a difference of 28.6%).

When considering education level, the most significant differences between Immigrants from Eastern Asia and Soviet Union communities in the United States are seen in doctorate degree (3.0% compared to 2.5%, a difference of 19.4%), no schooling completed (2.4% compared to 2.0%, a difference of 17.8%), and master's degree (20.8% compared to 20.5%, a difference of 1.5%). Conversely, both communities are more comparable in terms of professional degree (6.6% compared to 6.6%, a difference of 0.020%), college, under 1 year (71.3% compared to 71.1%, a difference of 0.24%), and college, 1 year or more (66.6% compared to 66.4%, a difference of 0.29%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Soviet Union communities in the United States are seen in vision disability (1.8% compared to 2.0%, a difference of 11.4%), female disability (10.7% compared to 11.7%, a difference of 9.9%), and ambulatory disability (5.3% compared to 5.8%, a difference of 8.7%). Conversely, both communities are more comparable in terms of disability age over 75 (46.2% compared to 46.2%, a difference of 0.050%), cognitive disability (16.8% compared to 16.5%, a difference of 1.7%), and disability age 18 to 34 (5.6% compared to 5.7%, a difference of 2.8%).