Mongolian vs Slavic Community Comparison

The statistical analysis conducted on geographies consisting of 109,187,148 people shows a strong positive correlation between the proportion of Slavs within Mongolian communities in the United States with a correlation coefficient (R) of 0.701. On average, for every 1% (one percent) increase in Mongolians within a typical geography, there is an increase of 0.237% in Slavs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Mongolians corresponds to an increase of 237.4 Slavs.

When considering income, the most significant differences between Mongolian and Slavic communities in the United States are seen in per capita income ($49,173 compared to $45,049, a difference of 9.2%), median family income ($114,553 compared to $105,144, a difference of 8.9%), and median household income ($93,971 compared to $86,398, a difference of 8.8%). Conversely, both communities are more comparable in terms of wage/income gap (26.6% compared to 27.4%, a difference of 3.0%), householder income under 25 years ($52,540 compared to $50,563, a difference of 3.9%), and householder income over 65 years ($65,326 compared to $61,709, a difference of 5.9%).

When considering poverty, the most significant differences between Mongolian and Slavic communities in the United States are seen in single father poverty (15.3% compared to 17.4%, a difference of 13.9%), married-couple family poverty (5.0% compared to 4.4%, a difference of 12.7%), and seniors poverty over the age of 65 (10.9% compared to 9.8%, a difference of 11.3%). Conversely, both communities are more comparable in terms of child poverty under the age of 16 (15.2% compared to 15.4%, a difference of 1.5%), child poverty among boys under 16 (15.4% compared to 15.7%, a difference of 1.6%), and receiving food stamps (10.5% compared to 10.6%, a difference of 1.6%).

When considering unemployment, the most significant differences between Mongolian and Slavic communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.7%, a difference of 19.5%), unemployment among ages 35 to 44 years (4.3% compared to 4.6%, a difference of 6.8%), and unemployment among seniors over 75 years (8.6% compared to 9.2%, a difference of 6.8%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.3% compared to 4.3%, a difference of 0.77%), unemployment among youth under 25 years (11.1% compared to 11.2%, a difference of 0.87%), and male unemployment (5.1% compared to 5.1%, a difference of 1.2%).

When considering labor participation, the most significant differences between Mongolian and Slavic communities in the United States are seen in in labor force | age 16-19 (35.3% compared to 40.4%, a difference of 14.4%), in labor force | age 20-24 (73.3% compared to 76.9%, a difference of 4.8%), and in labor force | age > 16 (66.1% compared to 64.6%, a difference of 2.3%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 85.1%, a difference of 0.010%), in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.18%), and in labor force | age 30-34 (85.3% compared to 85.0%, a difference of 0.33%).

When considering family structure, the most significant differences between Mongolian and Slavic communities in the United States are seen in births to unmarried women (27.9% compared to 31.6%, a difference of 13.3%), divorced or separated (11.1% compared to 12.2%, a difference of 10.4%), and single father households (2.1% compared to 2.2%, a difference of 9.6%). Conversely, both communities are more comparable in terms of single mother households (5.8% compared to 5.9%, a difference of 1.3%), family households (62.8% compared to 64.0%, a difference of 1.9%), and average family size (3.20 compared to 3.13, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Mongolian and Slavic communities in the United States are seen in no vehicles in household (13.1% compared to 9.0%, a difference of 46.6%), 4 or more vehicles in household (5.8% compared to 6.6%, a difference of 13.1%), and 3 or more vehicles in household (18.1% compared to 20.4%, a difference of 12.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.0% compared to 91.2%, a difference of 4.9%), 2 or more vehicles in household (52.8% compared to 57.8%, a difference of 9.4%), and 3 or more vehicles in household (18.1% compared to 20.4%, a difference of 12.7%).

When considering education level, the most significant differences between Mongolian and Slavic communities in the United States are seen in doctorate degree (2.8% compared to 1.9%, a difference of 45.0%), professional degree (6.1% compared to 4.5%, a difference of 34.9%), and no schooling completed (2.1% compared to 1.7%, a difference of 28.3%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 98.4%, a difference of 0.52%), kindergarten (97.9% compared to 98.4%, a difference of 0.52%), and 1st grade (97.9% compared to 98.4%, a difference of 0.53%).

When considering disability, the most significant differences between Mongolian and Slavic communities in the United States are seen in hearing disability (2.7% compared to 3.4%, a difference of 24.9%), disability age under 5 (1.1% compared to 1.4%, a difference of 22.9%), and disability age 18 to 34 (6.2% compared to 7.4%, a difference of 18.7%). Conversely, both communities are more comparable in terms of disability age over 75 (46.3% compared to 46.1%, a difference of 0.46%), disability age 65 to 74 (21.8% compared to 23.0%, a difference of 5.5%), and cognitive disability (17.7% compared to 16.7%, a difference of 6.5%).