Immigrants from South Central Asia vs Mongolian Community Comparison

The statistical analysis conducted on geographies consisting of 138,584,390 people shows a weak positive correlation between the proportion of Mongolians within Immigrant from South Central Asia communities in the United States with a correlation coefficient (R) of 0.288. On average, for every 1% (one percent) increase in Immigrants from South Central Asia within a typical geography, there is an increase of 0.003% in Mongolians. 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 2.7 Mongolians.

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

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

When considering unemployment, the most significant differences between Immigrants from South Central Asia and Mongolian communities in the United States are seen in male unemployment (4.8% compared to 5.1%, a difference of 7.7%), unemployment among ages 30 to 34 years (4.9% compared to 5.2%, a difference of 7.4%), and unemployment among women with children ages 6 to 17 years (7.9% compared to 8.4%, 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 (4.7% compared to 4.8%, a difference of 1.0%).

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

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

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

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

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