Immigrants from Southern Europe vs Mongolian Community Comparison

The statistical analysis conducted on geographies consisting of 133,004,328 people shows a weak positive correlation between the proportion of Mongolians within Immigrant from Southern Europe communities in the United States with a correlation coefficient (R) of 0.271. On average, for every 1% (one percent) increase in Immigrants from Southern Europe 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 Southern Europe corresponds to an increase of 4.1 Mongolians.

When considering income, the most significant differences between Immigrants from Southern Europe and Mongolian communities in the United States are seen in householder income over 65 years ($61,902 compared to $65,326, a difference of 5.5%), householder income under 25 years ($54,484 compared to $52,540, a difference of 3.7%), and median family income ($110,614 compared to $114,553, a difference of 3.6%). Conversely, both communities are more comparable in terms of median female earnings ($42,275 compared to $42,542, a difference of 0.63%), wage/income gap (26.4% compared to 26.6%, a difference of 0.77%), and householder income ages 25 - 44 years ($103,486 compared to $104,578, a difference of 1.1%).

When considering poverty, the most significant differences between Immigrants from Southern Europe and Mongolian communities in the United States are seen in female poverty among 18-24 year olds (18.2% compared to 21.6%, a difference of 18.9%), receiving food stamps (11.5% compared to 10.5%, a difference of 9.8%), and single father poverty (16.7% compared to 15.3%, a difference of 9.3%). Conversely, both communities are more comparable in terms of child poverty under the age of 16 (15.1% compared to 15.2%, a difference of 0.10%), female poverty among 25-34 year olds (12.8% compared to 12.8%, a difference of 0.20%), and child poverty under the age of 5 (16.1% compared to 16.1%, a difference of 0.20%).

When considering unemployment, the most significant differences between Immigrants from Southern Europe and Mongolian communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.5%, a difference of 16.1%), unemployment among ages 35 to 44 years (4.7% compared to 4.3%, a difference of 10.0%), and unemployment among women with children ages 6 to 17 years (9.2% compared to 8.4%, a difference of 9.9%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 1.1%), unemployment among ages 65 to 74 years (5.6% compared to 5.3%, a difference of 5.2%), and male unemployment (5.4% compared to 5.1%, a difference of 5.4%).

When considering labor participation, the most significant differences between Immigrants from Southern Europe and Mongolian communities in the United States are seen in in labor force | age 16-19 (36.4% compared to 35.3%, a difference of 3.3%), in labor force | age > 16 (65.0% compared to 66.1%, a difference of 1.7%), and in labor force | age 20-24 (74.5% compared to 73.3%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.0% compared to 85.1%, a difference of 0.050%), in labor force | age 35-44 (84.8% compared to 84.8%, a difference of 0.060%), and in labor force | age 20-64 (79.8% compared to 79.9%, a difference of 0.22%).

When considering family structure, the most significant differences between Immigrants from Southern Europe and Mongolian communities in the United States are seen in births to unmarried women (31.1% compared to 27.9%, a difference of 11.4%), single father households (2.2% compared to 2.1%, a difference of 5.1%), and single mother households (6.1% compared to 5.8%, a difference of 4.8%). Conversely, both communities are more comparable in terms of average family size (3.18 compared to 3.20, a difference of 0.69%), currently married (46.9% compared to 46.4%, a difference of 1.1%), and married-couple households (46.8% compared to 46.3%, a difference of 1.1%).

When considering vehicle availability, the most significant differences between Immigrants from Southern Europe and Mongolian communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 5.8%, a difference of 1.3%), 2 or more vehicles in household (52.3% compared to 52.8%, a difference of 1.1%), and 3 or more vehicles in household (17.9% compared to 18.1%, a difference of 1.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.1% compared to 87.0%, a difference of 0.10%), no vehicles in household (13.0% compared to 13.1%, a difference of 0.81%), and 3 or more vehicles in household (17.9% compared to 18.1%, a difference of 1.0%).

When considering education level, the most significant differences between Immigrants from Southern Europe and Mongolian communities in the United States are seen in doctorate degree (2.0% compared to 2.8%, a difference of 35.7%), professional degree (5.0% compared to 6.1%, a difference of 21.9%), and master's degree (16.6% compared to 19.4%, a difference of 16.7%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 97.9%, a difference of 0.040%), 2nd grade (97.8% compared to 97.8%, a difference of 0.040%), and kindergarten (97.8% compared to 97.9%, a difference of 0.050%).

When considering disability, the most significant differences between Immigrants from Southern Europe and Mongolian communities in the United States are seen in disability age under 5 (1.4% compared to 1.1%, a difference of 22.6%), hearing disability (3.0% compared to 2.7%, a difference of 10.9%), and ambulatory disability (6.1% compared to 5.5%, a difference of 10.6%). Conversely, both communities are more comparable in terms of disability age over 75 (46.2% compared to 46.3%, a difference of 0.31%), disability age 65 to 74 (22.1% compared to 21.8%, a difference of 1.7%), and disability age 18 to 34 (6.5% compared to 6.2%, a difference of 4.1%).