Immigrants from South Central Asia vs German Russian Community Comparison

The statistical analysis conducted on geographies consisting of 93,569,595 people shows a slight positive correlation between the proportion of German Russians within Immigrant from South Central Asia communities in the United States with a correlation coefficient (R) of 0.065. 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 German Russians. 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 0.6 German Russians.

When considering income, the most significant differences between Immigrants from South Central Asia and German Russian communities in the United States are seen in median household income ($106,057 compared to $75,856, a difference of 39.8%), householder income ages 45 - 64 years ($124,188 compared to $89,398, a difference of 38.9%), and median male earnings ($68,960 compared to $49,924, a difference of 38.1%). Conversely, both communities are more comparable in terms of wage/income gap (29.3% compared to 24.6%, a difference of 19.1%), median female earnings ($46,324 compared to $37,105, a difference of 24.8%), and householder income under 25 years ($57,818 compared to $45,673, a difference of 26.6%).

When considering poverty, the most significant differences between Immigrants from South Central Asia and German Russian communities in the United States are seen in female poverty among 18-24 year olds (17.6% compared to 25.2%, a difference of 43.1%), child poverty under the age of 5 (13.3% compared to 18.8%, a difference of 41.7%), and child poverty among girls under 16 (12.7% compared to 17.8%, a difference of 39.7%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.4% compared to 12.3%, a difference of 7.9%), seniors poverty over the age of 65 (9.7% compared to 11.0%, a difference of 13.5%), and married-couple family poverty (4.3% compared to 5.0%, a difference of 15.0%).

When considering unemployment, the most significant differences between Immigrants from South Central Asia and German Russian communities in the United States are seen in unemployment among women with children under 6 years (6.6% compared to 8.2%, a difference of 24.2%), unemployment among ages 35 to 44 years (4.1% compared to 4.7%, a difference of 13.7%), and unemployment among women with children under 18 years (5.0% compared to 5.4%, a difference of 7.8%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.36%), unemployment among ages 20 to 24 years (10.1% compared to 10.1%, a difference of 0.75%), and unemployment among ages 55 to 59 years (4.6% compared to 4.5%, a difference of 1.3%).

When considering labor participation, the most significant differences between Immigrants from South Central Asia and German Russian communities in the United States are seen in in labor force | age 16-19 (34.6% compared to 42.4%, a difference of 22.8%), in labor force | age 20-24 (74.0% compared to 77.5%, a difference of 4.8%), and in labor force | age > 16 (67.1% compared to 66.1%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.1% compared to 85.2%, a difference of 0.16%), in labor force | age 35-44 (85.0% compared to 85.2%, a difference of 0.27%), and in labor force | age 25-29 (85.2% compared to 85.8%, a difference of 0.70%).

When considering family structure, the most significant differences between Immigrants from South Central Asia and German Russian communities in the United States are seen in births to unmarried women (24.7% compared to 33.1%, a difference of 34.1%), single mother households (5.4% compared to 6.7%, a difference of 23.4%), and single father households (2.0% compared to 2.4%, a difference of 21.3%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.15, a difference of 2.6%), family households (66.4% compared to 60.9%, a difference of 9.0%), and currently married (50.0% compared to 45.5%, a difference of 9.9%).

When considering vehicle availability, the most significant differences between Immigrants from South Central Asia and German Russian communities in the United States are seen in no vehicles in household (8.6% compared to 10.5%, a difference of 23.0%), 4 or more vehicles in household (6.1% compared to 7.0%, a difference of 14.1%), and 3 or more vehicles in household (19.3% compared to 20.5%, a difference of 6.0%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (56.6% compared to 55.6%, a difference of 1.8%), 1 or more vehicles in household (91.5% compared to 89.6%, a difference of 2.1%), and 3 or more vehicles in household (19.3% compared to 20.5%, a difference of 6.0%).

When considering education level, the most significant differences between Immigrants from South Central Asia and German Russian communities in the United States are seen in master's degree (20.7% compared to 13.5%, a difference of 53.9%), professional degree (5.9% compared to 4.0%, a difference of 48.7%), and doctorate degree (2.6% compared to 1.8%, a difference of 48.3%). Conversely, both communities are more comparable in terms of 9th grade (95.4% compared to 95.4%, a difference of 0.040%), 10th grade (94.5% compared to 94.4%, a difference of 0.12%), and nursery school (98.0% compared to 98.2%, a difference of 0.21%).

When considering disability, the most significant differences between Immigrants from South Central Asia and German Russian communities in the United States are seen in disability age under 5 (1.0% compared to 1.6%, a difference of 58.4%), disability age 35 to 64 (8.9% compared to 12.5%, a difference of 40.6%), and disability age 18 to 34 (5.7% compared to 7.4%, a difference of 29.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.0% compared to 47.3%, a difference of 2.8%), cognitive disability (16.4% compared to 18.2%, a difference of 11.4%), and self-care disability (2.2% compared to 2.5%, a difference of 11.8%).