Immigrants from Eastern Africa vs Mongolian Community Comparison

The statistical analysis conducted on geographies consisting of 128,383,963 people shows a poor positive correlation between the proportion of Mongolians within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of 0.149. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa 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 Eastern Africa corresponds to an increase of 3.1 Mongolians.

When considering income, the most significant differences between Immigrants from Eastern Africa and Mongolian communities in the United States are seen in wage/income gap (22.8% compared to 26.6%, a difference of 16.7%), householder income ages 25 - 44 years ($91,458 compared to $104,578, a difference of 14.3%), and householder income ages 45 - 64 years ($98,467 compared to $111,602, a difference of 13.3%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,158 compared to $52,540, a difference of 2.7%), median female earnings ($40,644 compared to $42,542, a difference of 4.7%), and householder income over 65 years ($61,157 compared to $65,326, a difference of 6.8%).

When considering poverty, the most significant differences between Immigrants from Eastern Africa and Mongolian communities in the United States are seen in child poverty under the age of 16 (17.6% compared to 15.2%, a difference of 16.1%), child poverty among girls under 16 (17.7% compared to 15.4%, a difference of 14.8%), and child poverty among boys under 16 (17.7% compared to 15.4%, a difference of 14.8%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.4% compared to 21.6%, a difference of 0.80%), single male poverty (12.3% compared to 12.2%, a difference of 1.1%), and seniors poverty over the age of 75 (12.1% compared to 12.2%, a difference of 1.3%).

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Mongolian communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 6.5%, a difference of 10.8%), unemployment among women with children under 18 years (5.4% compared to 5.0%, a difference of 9.2%), and unemployment among ages 35 to 44 years (4.6% compared to 4.3%, a difference of 6.5%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.1% compared to 11.1%, a difference of 0.13%), male unemployment (5.2% compared to 5.1%, a difference of 0.99%), and unemployment among ages 16 to 19 years (16.8% compared to 16.9%, a difference of 1.1%).

When considering labor participation, the most significant differences between Immigrants from Eastern Africa and Mongolian communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 35.3%, a difference of 14.4%), in labor force | age 20-24 (77.5% compared to 73.3%, a difference of 5.7%), and in labor force | age > 16 (68.5% compared to 66.1%, a difference of 3.6%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.4% compared to 84.8%, a difference of 0.69%), in labor force | age 30-34 (85.9% compared to 85.3%, a difference of 0.72%), and in labor force | age 45-54 (83.9% compared to 83.3%, a difference of 0.78%).

When considering family structure, the most significant differences between Immigrants from Eastern Africa and Mongolian communities in the United States are seen in single mother households (6.8% compared to 5.8%, a difference of 18.1%), single father households (2.4% compared to 2.1%, a difference of 18.1%), and births to unmarried women (31.0% compared to 27.9%, a difference of 10.9%). Conversely, both communities are more comparable in terms of family households with children (27.7% compared to 27.6%, a difference of 0.28%), average family size (3.22 compared to 3.20, a difference of 0.55%), and family households (61.1% compared to 62.8%, a difference of 2.7%).

When considering vehicle availability, the most significant differences between Immigrants from Eastern Africa and Mongolian communities in the United States are seen in no vehicles in household (10.0% compared to 13.1%, a difference of 30.7%), 1 or more vehicles in household (90.1% compared to 87.0%, a difference of 3.6%), and 2 or more vehicles in household (53.7% compared to 52.8%, a difference of 1.8%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (18.0% compared to 18.1%, a difference of 0.52%), 4 or more vehicles in household (5.7% compared to 5.8%, a difference of 1.3%), and 2 or more vehicles in household (53.7% compared to 52.8%, a difference of 1.8%).

When considering education level, the most significant differences between Immigrants from Eastern Africa and Mongolian communities in the United States are seen in doctorate degree (2.1% compared to 2.8%, a difference of 30.8%), professional degree (4.8% compared to 6.1%, a difference of 27.6%), and master's degree (16.3% compared to 19.4%, a difference of 18.7%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.9%, a difference of 0.28%), kindergarten (97.6% compared to 97.9%, a difference of 0.28%), and 1st grade (97.6% compared to 97.9%, a difference of 0.29%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Mongolian communities in the United States are seen in disability age 35 to 64 (11.3% compared to 10.1%, a difference of 12.0%), disability age 65 to 74 (23.4% compared to 21.8%, a difference of 7.7%), and disability age 5 to 17 (5.7% compared to 5.3%, a difference of 7.6%). Conversely, both communities are more comparable in terms of ambulatory disability (5.6% compared to 5.5%, a difference of 1.7%), disability age over 75 (47.2% compared to 46.3%, a difference of 1.8%), and hearing disability (2.8% compared to 2.7%, a difference of 1.8%).