Mongolian vs Immigrants from South Central Asia Community Comparison

The statistical analysis conducted on geographies consisting of 138,633,197 people shows a mild negative correlation between the proportion of Immigrants from South Central Asia within Mongolian communities in the United States with a correlation coefficient (R) of -0.361. On average, for every 1% (one percent) increase in Mongolians within a typical geography, there is a decrease of 0.929% in Immigrants from South Central Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Mongolians corresponds to a decrease of 928.8 Immigrants from South Central Asia.

When considering income, the most significant differences between Mongolian and Immigrants from South Central Asia communities in the United States are seen in median male earnings ($60,350 compared to $68,960, a difference of 14.3%), median household income ($93,971 compared to $106,057, a difference of 12.9%), and median earnings ($51,038 compared to $57,114, a difference of 11.9%). Conversely, both communities are more comparable in terms of per capita income ($49,173 compared to $52,660, a difference of 7.1%), householder income over 65 years ($65,326 compared to $70,103, a difference of 7.3%), and median female earnings ($42,542 compared to $46,324, a difference of 8.9%).

When considering poverty, the most significant differences between Mongolian and Immigrants from South Central Asia communities in the United States are seen in female poverty among 18-24 year olds (21.6% compared to 17.6%, a difference of 22.8%), male poverty (11.3% compared to 9.3%, a difference of 22.0%), and child poverty among boys under 16 (15.4% compared to 12.7%, a difference of 21.8%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 14.5%, a difference of 5.1%), seniors poverty over the age of 75 (12.2% compared to 11.4%, a difference of 7.6%), and single mother poverty (27.7% compared to 25.3%, a difference of 9.5%).

When considering unemployment, the most significant differences between Mongolian and Immigrants from South Central Asia communities in the United States are seen in male unemployment (5.1% compared to 4.8%, a difference of 7.7%), unemployment among ages 30 to 34 years (5.2% compared to 4.9%, a difference of 7.4%), and unemployment among women with children ages 6 to 17 years (8.4% compared to 7.9%, a difference of 5.8%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.0% compared to 5.0%, a difference of 0.12%), unemployment among ages 55 to 59 years (4.6% compared to 4.6%, a difference of 0.33%), and unemployment among ages 60 to 64 years (4.8% compared to 4.7%, a difference of 1.0%).

When considering labor participation, the most significant differences between Mongolian and Immigrants from South Central Asia communities in the United States are seen in in labor force | age 16-19 (35.3% compared to 34.6%, a difference of 2.1%), in labor force | age > 16 (66.1% compared to 67.1%, a difference of 1.5%), and in labor force | age 20-64 (79.9% compared to 80.7%, a difference of 0.97%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.8% compared to 85.0%, a difference of 0.15%), in labor force | age 25-29 (85.1% compared to 85.2%, a difference of 0.19%), and in labor force | age 30-34 (85.3% compared to 85.1%, a difference of 0.23%).

When considering family structure, the most significant differences between Mongolian and Immigrants from South Central Asia communities in the United States are seen in births to unmarried women (27.9% compared to 24.7%, a difference of 13.1%), married-couple households (46.3% compared to 50.6%, a difference of 9.3%), and family households with children (27.6% compared to 30.0%, a difference of 8.9%). Conversely, both communities are more comparable in terms of average family size (3.20 compared to 3.23, a difference of 0.94%), single father households (2.1% compared to 2.0%, a difference of 4.4%), and family households (62.8% compared to 66.4%, a difference of 5.8%).

When considering vehicle availability, the most significant differences between Mongolian and Immigrants from South Central Asia communities in the United States are seen in no vehicles in household (13.1% compared to 8.6%, a difference of 53.2%), 2 or more vehicles in household (52.8% compared to 56.6%, a difference of 7.1%), and 3 or more vehicles in household (18.1% compared to 19.3%, a difference of 6.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.0% compared to 91.5%, a difference of 5.2%), 4 or more vehicles in household (5.8% compared to 6.1%, a difference of 5.4%), and 3 or more vehicles in household (18.1% compared to 19.3%, a difference of 6.8%).

When considering education level, the most significant differences between Mongolian and Immigrants from South Central Asia communities in the United States are seen in master's degree (19.4% compared to 20.7%, a difference of 6.8%), bachelor's degree (45.4% compared to 48.3%, a difference of 6.5%), and no schooling completed (2.1% compared to 2.0%, a difference of 6.2%). Conversely, both communities are more comparable in terms of kindergarten (97.9% compared to 98.0%, a difference of 0.12%), 1st grade (97.9% compared to 98.0%, a difference of 0.12%), and nursery school (97.9% compared to 98.0%, a difference of 0.13%).

When considering disability, the most significant differences between Mongolian and Immigrants from South Central Asia communities in the United States are seen in disability age 35 to 64 (10.1% compared to 8.9%, a difference of 14.3%), disability age under 5 (1.1% compared to 1.0%, a difference of 11.5%), and disability age 5 to 17 (5.3% compared to 4.7%, a difference of 11.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.3% compared to 46.0%, a difference of 0.79%), disability age 65 to 74 (21.8% compared to 20.6%, a difference of 5.7%), and self-care disability (2.3% compared to 2.2%, a difference of 5.8%).