Mongolian vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 129,540,759 people shows a mild positive correlation between the proportion of Peruvians within Mongolian communities in the United States with a correlation coefficient (R) of 0.319. On average, for every 1% (one percent) increase in Mongolians within a typical geography, there is an increase of 0.170% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Mongolians corresponds to an increase of 170.4 Peruvians.

When considering income, the most significant differences between Mongolian and Peruvian communities in the United States are seen in per capita income ($49,173 compared to $44,479, a difference of 10.5%), median family income ($114,553 compared to $105,444, a difference of 8.6%), and median male earnings ($60,350 compared to $55,659, a difference of 8.4%). Conversely, both communities are more comparable in terms of wage/income gap (26.6% compared to 25.6%, a difference of 4.0%), householder income over 65 years ($65,326 compared to $62,766, a difference of 4.1%), and median household income ($93,971 compared to $90,261, a difference of 4.1%).

When considering poverty, the most significant differences between Mongolian and Peruvian communities in the United States are seen in female poverty among 18-24 year olds (21.6% compared to 17.2%, a difference of 25.5%), receiving food stamps (10.5% compared to 11.7%, a difference of 12.4%), and seniors poverty over the age of 75 (12.2% compared to 13.4%, a difference of 9.3%). Conversely, both communities are more comparable in terms of child poverty among girls under 16 (15.4% compared to 15.4%, a difference of 0.53%), single mother poverty (27.7% compared to 27.5%, a difference of 0.62%), and child poverty among boys under 16 (15.4% compared to 15.5%, a difference of 0.64%).

When considering unemployment, the most significant differences between Mongolian and Peruvian communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.5%, a difference of 16.2%), unemployment among women with children under 18 years (5.0% compared to 5.6%, a difference of 13.2%), and female unemployment (5.0% compared to 5.4%, a difference of 9.7%). Conversely, both communities are more comparable in terms of male unemployment (5.1% compared to 5.3%, a difference of 2.9%), unemployment among ages 65 to 74 years (5.3% compared to 5.5%, a difference of 3.6%), and unemployment among seniors over 65 years (5.1% compared to 5.3%, a difference of 4.2%).

When considering labor participation, the most significant differences between Mongolian and Peruvian communities in the United States are seen in in labor force | age 16-19 (35.3% compared to 34.6%, a difference of 2.0%), in labor force | age 20-24 (73.3% compared to 74.5%, a difference of 1.6%), and in labor force | age 30-34 (85.3% compared to 84.8%, a difference of 0.62%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.8% compared to 84.9%, a difference of 0.11%), in labor force | age > 16 (66.1% compared to 66.3%, a difference of 0.34%), and in labor force | age 45-54 (83.3% compared to 83.6%, a difference of 0.35%).

When considering family structure, the most significant differences between Mongolian and Peruvian communities in the United States are seen in single father households (2.1% compared to 2.4%, a difference of 16.0%), births to unmarried women (27.9% compared to 31.5%, a difference of 12.9%), and single mother households (5.8% compared to 6.5%, a difference of 12.8%). Conversely, both communities are more comparable in terms of currently married (46.4% compared to 46.6%, a difference of 0.47%), married-couple households (46.3% compared to 47.6%, a difference of 2.9%), and average family size (3.20 compared to 3.30, a difference of 3.2%).

When considering vehicle availability, the most significant differences between Mongolian and Peruvian communities in the United States are seen in no vehicles in household (13.1% compared to 11.2%, a difference of 16.7%), 4 or more vehicles in household (5.8% compared to 6.5%, a difference of 11.3%), and 3 or more vehicles in household (18.1% compared to 19.6%, a difference of 8.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.0% compared to 88.8%, a difference of 2.1%), 2 or more vehicles in household (52.8% compared to 55.0%, a difference of 4.1%), and 3 or more vehicles in household (18.1% compared to 19.6%, a difference of 8.4%).

When considering education level, the most significant differences between Mongolian and Peruvian communities in the United States are seen in doctorate degree (2.8% compared to 1.8%, a difference of 53.7%), professional degree (6.1% compared to 4.5%, a difference of 36.1%), and master's degree (19.4% compared to 15.3%, a difference of 26.8%). Conversely, both communities are more comparable in terms of nursery school (97.9% compared to 97.6%, a difference of 0.27%), kindergarten (97.9% compared to 97.6%, a difference of 0.29%), and 1st grade (97.9% compared to 97.6%, a difference of 0.29%).

When considering disability, the most significant differences between Mongolian and Peruvian communities in the United States are seen in disability age under 5 (1.1% compared to 1.3%, a difference of 9.5%), vision disability (1.9% compared to 2.1%, a difference of 7.3%), and cognitive disability (17.7% compared to 16.7%, a difference of 6.4%). Conversely, both communities are more comparable in terms of hearing disability (2.7% compared to 2.7%, a difference of 0.33%), male disability (10.3% compared to 10.4%, a difference of 0.71%), and disability age 5 to 17 (5.3% compared to 5.3%, a difference of 0.84%).