Immigrants from Eastern Asia vs Mongolian Community Comparison

The statistical analysis conducted on geographies consisting of 139,369,571 people shows a substantial positive correlation between the proportion of Mongolians within Immigrant from Eastern Asia communities in the United States with a correlation coefficient (R) of 0.546. On average, for every 1% (one percent) increase in Immigrants from Eastern Asia within a typical geography, there is an increase of 0.004% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Asia corresponds to an increase of 3.6 Mongolians.

When considering income, the most significant differences between Immigrants from Eastern Asia and Mongolian communities in the United States are seen in householder income ages 25 - 44 years ($118,056 compared to $104,578, a difference of 12.9%), median household income ($104,796 compared to $93,971, a difference of 11.5%), and median male earnings ($66,903 compared to $60,350, a difference of 10.9%). Conversely, both communities are more comparable in terms of wage/income gap (27.1% compared to 26.6%, a difference of 1.6%), householder income over 65 years ($69,872 compared to $65,326, a difference of 7.0%), and householder income under 25 years ($57,123 compared to $52,540, a difference of 8.7%).

When considering poverty, the most significant differences between Immigrants from Eastern Asia and Mongolian communities in the United States are seen in child poverty under the age of 5 (13.5% compared to 16.1%, a difference of 19.1%), child poverty among girls under 16 (13.4% compared to 15.4%, a difference of 15.6%), and child poverty under the age of 16 (13.1% compared to 15.2%, a difference of 15.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (11.1% compared to 10.9%, a difference of 1.9%), single father poverty (15.0% compared to 15.3%, a difference of 1.9%), and married-couple family poverty (4.8% compared to 5.0%, a difference of 4.4%).

When considering unemployment, the most significant differences between Immigrants from Eastern Asia and Mongolian communities in the United States are seen in unemployment among seniors over 75 years (7.9% compared to 8.6%, a difference of 8.9%), unemployment among women with children ages 6 to 17 years (7.7% compared to 8.4%, a difference of 8.8%), and unemployment among ages 55 to 59 years (4.8% compared to 4.6%, a difference of 5.5%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.3% compared to 5.3%, a difference of 0.010%), unemployment among seniors over 65 years (5.1% compared to 5.1%, a difference of 0.16%), and male unemployment (5.1% compared to 5.1%, a difference of 0.39%).

When considering labor participation, the most significant differences between Immigrants from Eastern Asia and Mongolian communities in the United States are seen in in labor force | age 16-19 (32.0% compared to 35.3%, a difference of 10.2%), in labor force | age 20-24 (71.8% compared to 73.3%, a difference of 2.1%), and in labor force | age > 16 (65.7% compared to 66.1%, a difference of 0.61%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.9% compared to 79.9%, a difference of 0.060%), in labor force | age 30-34 (85.4% compared to 85.3%, a difference of 0.060%), and in labor force | age 45-54 (83.4% compared to 83.3%, a difference of 0.10%).

When considering family structure, the most significant differences between Immigrants from Eastern Asia and Mongolian communities in the United States are seen in single mother households (5.1% compared to 5.8%, a difference of 13.6%), births to unmarried women (25.0% compared to 27.9%, a difference of 11.5%), and single father households (1.9% compared to 2.1%, a difference of 8.6%). Conversely, both communities are more comparable in terms of family households with children (27.7% compared to 27.6%, a difference of 0.34%), average family size (3.22 compared to 3.20, a difference of 0.76%), and family households (64.9% compared to 62.8%, a difference of 3.4%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Asia and Mongolian communities in the United States are seen in 4 or more vehicles in household (6.2% compared to 5.8%, a difference of 7.1%), 3 or more vehicles in household (18.8% compared to 18.1%, a difference of 4.0%), and no vehicles in household (13.5% compared to 13.1%, a difference of 3.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.5% compared to 87.0%, a difference of 0.50%), 2 or more vehicles in household (53.2% compared to 52.8%, a difference of 0.76%), and no vehicles in household (13.5% compared to 13.1%, a difference of 3.3%).

When considering education level, the most significant differences between Immigrants from Eastern Asia and Mongolian communities in the United States are seen in no schooling completed (2.4% compared to 2.1%, a difference of 11.6%), doctorate degree (3.0% compared to 2.8%, a difference of 7.4%), and master's degree (20.8% compared to 19.4%, a difference of 7.4%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (91.8% compared to 91.8%, a difference of 0.020%), high school diploma (89.9% compared to 89.9%, a difference of 0.10%), and nursery school (97.7% compared to 97.9%, a difference of 0.24%).

When considering disability, the most significant differences between Immigrants from Eastern Asia and Mongolian communities in the United States are seen in disability age 35 to 64 (8.8% compared to 10.1%, a difference of 15.3%), disability age 5 to 17 (4.6% compared to 5.3%, a difference of 14.9%), and disability age under 5 (1.0% compared to 1.1%, a difference of 12.2%). Conversely, both communities are more comparable in terms of disability age over 75 (46.2% compared to 46.3%, a difference of 0.42%), self-care disability (2.3% compared to 2.3%, a difference of 0.60%), and hearing disability (2.7% compared to 2.7%, a difference of 2.5%).