Soviet Union vs Immigrants from Western Asia Community Comparison

The statistical analysis conducted on geographies consisting of 43,216,918 people shows a poor negative correlation between the proportion of Immigrants from Western Asia within Soviet Union communities in the United States with a correlation coefficient (R) of -0.120. On average, for every 1% (one percent) increase in Soviet Union within a typical geography, there is a decrease of 0.513% in Immigrants from Western Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Soviet Union corresponds to a decrease of 513.3 Immigrants from Western Asia.

When considering income, the most significant differences between Soviet Union and Immigrants from Western Asia communities in the United States are seen in per capita income ($54,202 compared to $46,876, a difference of 15.6%), median female earnings ($46,556 compared to $41,375, a difference of 12.5%), and median earnings ($54,290 compared to $49,389, a difference of 9.9%). Conversely, both communities are more comparable in terms of householder income over 65 years ($62,848 compared to $62,645, a difference of 0.32%), householder income ages 45 - 64 years ($112,008 compared to $106,217, a difference of 5.4%), and median household income ($95,098 compared to $90,005, a difference of 5.7%).

When considering poverty, the most significant differences between Soviet Union and Immigrants from Western Asia communities in the United States are seen in married-couple family poverty (4.9% compared to 6.0%, a difference of 22.3%), child poverty under the age of 5 (14.7% compared to 17.1%, a difference of 16.2%), and child poverty among boys under 16 (14.5% compared to 16.6%, a difference of 14.4%). Conversely, both communities are more comparable in terms of single female poverty (19.6% compared to 19.9%, a difference of 1.8%), single mother poverty (27.3% compared to 28.3%, a difference of 3.4%), and female poverty among 18-24 year olds (19.5% compared to 20.3%, a difference of 4.2%).

When considering unemployment, the most significant differences between Soviet Union and Immigrants from Western Asia communities in the United States are seen in unemployment among seniors over 75 years (6.6% compared to 9.0%, a difference of 35.0%), unemployment among women with children ages 6 to 17 years (7.1% compared to 8.7%, a difference of 22.9%), and unemployment among women with children under 6 years (6.5% compared to 7.5%, a difference of 15.4%). Conversely, both communities are more comparable in terms of male unemployment (5.6% compared to 5.6%, a difference of 0.13%), unemployment among ages 35 to 44 years (4.8% compared to 4.8%, a difference of 0.21%), and unemployment among youth under 25 years (12.2% compared to 12.2%, a difference of 0.35%).

When considering labor participation, the most significant differences between Soviet Union and Immigrants from Western Asia communities in the United States are seen in in labor force | age 16-19 (31.4% compared to 34.8%, a difference of 10.7%), in labor force | age 20-24 (72.3% compared to 73.5%, a difference of 1.8%), and in labor force | age 35-44 (85.1% compared to 83.8%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.0% compared to 65.3%, a difference of 0.31%), in labor force | age 45-54 (83.0% compared to 82.4%, a difference of 0.65%), and in labor force | age 20-64 (80.2% compared to 79.2%, a difference of 1.3%).

When considering family structure, the most significant differences between Soviet Union and Immigrants from Western Asia communities in the United States are seen in single father households (1.8% compared to 2.1%, a difference of 14.8%), family households with children (24.8% compared to 27.9%, a difference of 12.1%), and single mother households (5.1% compared to 5.7%, a difference of 11.9%). Conversely, both communities are more comparable in terms of divorced or separated (11.1% compared to 11.2%, a difference of 0.36%), currently married (46.2% compared to 46.9%, a difference of 1.5%), and births to unmarried women (26.3% compared to 27.2%, a difference of 3.5%).

When considering vehicle availability, the most significant differences between Soviet Union and Immigrants from Western Asia communities in the United States are seen in no vehicles in household (17.4% compared to 11.0%, a difference of 57.8%), 4 or more vehicles in household (4.4% compared to 5.9%, a difference of 34.0%), and 3 or more vehicles in household (14.2% compared to 18.4%, a difference of 29.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (82.7% compared to 89.0%, a difference of 7.7%), 2 or more vehicles in household (45.7% compared to 54.1%, a difference of 18.2%), and 3 or more vehicles in household (14.2% compared to 18.4%, a difference of 29.8%).

When considering education level, the most significant differences between Soviet Union and Immigrants from Western Asia communities in the United States are seen in professional degree (6.6% compared to 5.4%, a difference of 21.4%), master's degree (20.5% compared to 17.5%, a difference of 17.6%), and no schooling completed (2.0% compared to 2.3%, a difference of 16.9%). Conversely, both communities are more comparable in terms of kindergarten (98.0% compared to 97.7%, a difference of 0.36%), 1st grade (98.0% compared to 97.6%, a difference of 0.36%), and nursery school (98.0% compared to 97.7%, a difference of 0.37%).

When considering disability, the most significant differences between Soviet Union and Immigrants from Western Asia communities in the United States are seen in disability age under 5 (0.95% compared to 1.1%, a difference of 16.9%), disability age 35 to 64 (9.2% compared to 10.4%, a difference of 12.4%), and disability age 65 to 74 (21.0% compared to 23.0%, a difference of 9.7%). Conversely, both communities are more comparable in terms of vision disability (2.0% compared to 2.0%, a difference of 0.11%), female disability (11.7% compared to 11.7%, a difference of 0.12%), and hearing disability (2.9% compared to 2.9%, a difference of 0.42%).