Immigrants from South Central Asia vs Soviet Union Community Comparison

The statistical analysis conducted on geographies consisting of 43,440,419 people shows a slight positive correlation between the proportion of Soviet Union within Immigrant from South Central Asia communities in the United States with a correlation coefficient (R) of 0.089. On average, for every 1% (one percent) increase in Immigrants from South Central Asia within a typical geography, there is an increase of 0.001% in Soviet Union. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South Central Asia corresponds to an increase of 1.1 Soviet Union.

When considering income, the most significant differences between Immigrants from South Central Asia and Soviet Union communities in the United States are seen in wage/income gap (29.3% compared to 24.2%, a difference of 21.1%), householder income over 65 years ($70,103 compared to $62,848, a difference of 11.5%), and median household income ($106,057 compared to $95,098, a difference of 11.5%). Conversely, both communities are more comparable in terms of median female earnings ($46,324 compared to $46,556, a difference of 0.50%), per capita income ($52,660 compared to $54,202, a difference of 2.9%), and householder income under 25 years ($57,818 compared to $55,340, a difference of 4.5%).

When considering poverty, the most significant differences between Immigrants from South Central Asia and Soviet Union communities in the United States are seen in seniors poverty over the age of 65 (9.7% compared to 12.6%, a difference of 29.9%), seniors poverty over the age of 75 (11.4% compared to 14.5%, a difference of 27.2%), and receiving food stamps (8.8% compared to 11.1%, a difference of 25.5%). Conversely, both communities are more comparable in terms of single father poverty (14.5% compared to 14.3%, a difference of 1.8%), single male poverty (10.9% compared to 11.5%, a difference of 5.0%), and single mother poverty (25.3% compared to 27.3%, a difference of 8.3%).

When considering unemployment, the most significant differences between Immigrants from South Central Asia and Soviet Union communities in the United States are seen in unemployment among seniors over 75 years (8.2% compared to 6.6%, a difference of 23.4%), unemployment among ages 35 to 44 years (4.1% compared to 4.8%, a difference of 17.3%), and male unemployment (4.8% compared to 5.6%, a difference of 16.5%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.0% compared to 4.9%, a difference of 0.82%), unemployment among women with children under 6 years (6.6% compared to 6.5%, a difference of 1.2%), and unemployment among seniors over 65 years (5.0% compared to 5.1%, a difference of 1.2%).

When considering labor participation, the most significant differences between Immigrants from South Central Asia and Soviet Union communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 31.4%, a difference of 10.0%), in labor force | age > 16 (67.1% compared to 65.0%, a difference of 3.1%), and in labor force | age 20-24 (74.0% compared to 72.3%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.2% compared to 85.3%, a difference of 0.070%), in labor force | age 35-44 (85.0% compared to 85.1%, a difference of 0.16%), and in labor force | age 30-34 (85.1% compared to 85.5%, a difference of 0.41%).

When considering family structure, the most significant differences between Immigrants from South Central Asia and Soviet Union communities in the United States are seen in family households with children (30.0% compared to 24.8%, a difference of 20.9%), married-couple households (50.6% compared to 44.6%, a difference of 13.4%), and single father households (2.0% compared to 1.8%, a difference of 9.5%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.11, a difference of 3.6%), single mother households (5.4% compared to 5.1%, a difference of 5.5%), and births to unmarried women (24.7% compared to 26.3%, a difference of 6.6%).

When considering vehicle availability, the most significant differences between Immigrants from South Central Asia and Soviet Union communities in the United States are seen in no vehicles in household (8.6% compared to 17.4%, a difference of 103.5%), 4 or more vehicles in household (6.1% compared to 4.4%, a difference of 38.2%), and 3 or more vehicles in household (19.3% compared to 14.2%, a difference of 36.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.5% compared to 82.7%, a difference of 10.7%), 2 or more vehicles in household (56.6% compared to 45.7%, a difference of 23.7%), and 3 or more vehicles in household (19.3% compared to 14.2%, a difference of 36.4%).

When considering education level, the most significant differences between Immigrants from South Central Asia and Soviet Union communities in the United States are seen in professional degree (5.9% compared to 6.6%, a difference of 11.3%), doctorate degree (2.6% compared to 2.5%, a difference of 5.9%), and college, under 1 year (72.1% compared to 71.1%, a difference of 1.4%). Conversely, both communities are more comparable in terms of 1st grade (98.0% compared to 98.0%, a difference of 0.010%), 2nd grade (97.9% compared to 97.9%, a difference of 0.010%), and 3rd grade (97.8% compared to 97.8%, a difference of 0.010%).

When considering disability, the most significant differences between Immigrants from South Central Asia and Soviet Union communities in the United States are seen in vision disability (1.8% compared to 2.0%, a difference of 14.2%), self-care disability (2.2% compared to 2.5%, a difference of 14.2%), and ambulatory disability (5.1% compared to 5.8%, a difference of 12.6%). Conversely, both communities are more comparable in terms of disability age over 75 (46.0% compared to 46.2%, a difference of 0.42%), cognitive disability (16.4% compared to 16.5%, a difference of 0.96%), and disability age 18 to 34 (5.7% compared to 5.7%, a difference of 1.2%).