Asian vs Slavic Community Comparison

The statistical analysis conducted on geographies consisting of 268,707,977 people shows a weak negative correlation between the proportion of Slavs within Asian communities in the United States with a correlation coefficient (R) of -0.278. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.001% in Slavs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 0.6 Slavs.

When considering income, the most significant differences between Asian and Slavic communities in the United States are seen in median household income ($101,681 compared to $86,398, a difference of 17.7%), householder income ages 25 - 44 years ($112,666 compared to $96,377, a difference of 16.9%), and householder income ages 45 - 64 years ($118,426 compared to $102,629, a difference of 15.4%). Conversely, both communities are more comparable in terms of wage/income gap (26.9% compared to 27.4%, a difference of 1.9%), per capita income ($50,057 compared to $45,049, a difference of 11.1%), and householder income over 65 years ($68,822 compared to $61,709, a difference of 11.5%).

When considering poverty, the most significant differences between Asian and Slavic communities in the United States are seen in child poverty under the age of 5 (14.0% compared to 17.0%, a difference of 21.6%), single father poverty (14.6% compared to 17.4%, a difference of 19.3%), and single male poverty (11.2% compared to 13.3%, a difference of 18.6%). Conversely, both communities are more comparable in terms of family poverty (7.7% compared to 8.1%, a difference of 4.8%), married-couple family poverty (4.7% compared to 4.4%, a difference of 4.8%), and poverty (11.0% compared to 11.5%, a difference of 5.0%).

When considering unemployment, the most significant differences between Asian and Slavic communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 7.7%, a difference of 16.0%), unemployment among seniors over 75 years (8.3% compared to 9.2%, a difference of 11.0%), and unemployment among women with children ages 6 to 17 years (8.0% compared to 8.7%, a difference of 9.6%). Conversely, both communities are more comparable in terms of male unemployment (5.1% compared to 5.1%, a difference of 0.15%), unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.68%), and unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.68%).

When considering labor participation, the most significant differences between Asian and Slavic communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 40.4%, a difference of 18.5%), in labor force | age 20-24 (73.7% compared to 76.9%, a difference of 4.4%), and in labor force | age > 16 (66.2% compared to 64.6%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.0%), in labor force | age 30-34 (85.1% compared to 85.0%, a difference of 0.060%), and in labor force | age 25-29 (84.8% compared to 85.1%, a difference of 0.27%).

When considering family structure, the most significant differences between Asian and Slavic communities in the United States are seen in births to unmarried women (26.8% compared to 31.6%, a difference of 18.0%), divorced or separated (10.6% compared to 12.2%, a difference of 14.9%), and family households with children (29.1% compared to 26.8%, a difference of 8.4%). Conversely, both communities are more comparable in terms of currently married (48.4% compared to 48.4%, a difference of 0.10%), married-couple households (49.5% compared to 47.8%, a difference of 3.4%), and family households (66.5% compared to 64.0%, a difference of 4.0%).

When considering vehicle availability, the most significant differences between Asian and Slavic communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 6.6%, a difference of 6.8%), 3 or more vehicles in household (20.8% compared to 20.4%, a difference of 1.7%), and 2 or more vehicles in household (57.0% compared to 57.8%, a difference of 1.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 91.2%, a difference of 0.11%), no vehicles in household (9.0% compared to 9.0%, a difference of 0.24%), and 2 or more vehicles in household (57.0% compared to 57.8%, a difference of 1.4%).

When considering education level, the most significant differences between Asian and Slavic communities in the United States are seen in no schooling completed (2.4% compared to 1.7%, a difference of 45.4%), doctorate degree (2.4% compared to 1.9%, a difference of 27.6%), and professional degree (5.5% compared to 4.5%, a difference of 21.1%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.4%, a difference of 0.79%), kindergarten (97.6% compared to 98.4%, a difference of 0.80%), and 1st grade (97.6% compared to 98.4%, a difference of 0.81%).

When considering disability, the most significant differences between Asian and Slavic communities in the United States are seen in disability age under 5 (1.1% compared to 1.4%, a difference of 29.7%), disability age 18 to 34 (5.8% compared to 7.4%, a difference of 26.9%), and hearing disability (2.7% compared to 3.4%, a difference of 25.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.7%, a difference of 0.50%), disability age over 75 (46.9% compared to 46.1%, a difference of 1.8%), and self-care disability (2.3% compared to 2.5%, a difference of 6.9%).