Afghan vs Mongolian Community Comparison

The statistical analysis conducted on geographies consisting of 88,692,359 people shows a weak negative correlation between the proportion of Mongolians within Afghan communities in the United States with a correlation coefficient (R) of -0.299. On average, for every 1% (one percent) increase in Afghans within a typical geography, there is a decrease of 0.009% in Mongolians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Afghans corresponds to a decrease of 9.0 Mongolians.

When considering income, the most significant differences between Afghan and Mongolian communities in the United States are seen in householder income under 25 years ($58,019 compared to $52,540, a difference of 10.4%), wage/income gap (24.9% compared to 26.6%, a difference of 6.8%), and per capita income ($46,268 compared to $49,173, a difference of 6.3%). Conversely, both communities are more comparable in terms of median earnings ($51,112 compared to $51,038, a difference of 0.15%), householder income ages 25 - 44 years ($104,410 compared to $104,578, a difference of 0.16%), and householder income ages 45 - 64 years ($112,676 compared to $111,602, a difference of 0.96%).

When considering poverty, the most significant differences between Afghan and Mongolian communities in the United States are seen in female poverty among 18-24 year olds (19.0% compared to 21.6%, a difference of 13.9%), single male poverty (10.7% compared to 12.2%, a difference of 13.6%), and seniors poverty over the age of 65 (9.8% compared to 10.9%, a difference of 11.1%). Conversely, both communities are more comparable in terms of single mother poverty (27.7% compared to 27.7%, a difference of 0.19%), female poverty among 25-34 year olds (13.0% compared to 12.8%, a difference of 1.8%), and receiving food stamps (10.7% compared to 10.5%, a difference of 2.4%).

When considering unemployment, the most significant differences between Afghan and Mongolian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.6% compared to 8.4%, a difference of 11.0%), unemployment among ages 60 to 64 years (4.4% compared to 4.8%, a difference of 9.1%), and unemployment among ages 35 to 44 years (4.7% compared to 4.3%, a difference of 8.7%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.4% compared to 4.3%, a difference of 2.0%), unemployment among ages 55 to 59 years (4.7% compared to 4.6%, a difference of 2.3%), and male unemployment (5.3% compared to 5.1%, a difference of 2.3%).

When considering labor participation, the most significant differences between Afghan and Mongolian communities in the United States are seen in in labor force | age 20-24 (75.2% compared to 73.3%, a difference of 2.5%), in labor force | age 16-19 (36.1% compared to 35.3%, a difference of 2.3%), and in labor force | age > 16 (67.1% compared to 66.1%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.5% compared to 83.3%, a difference of 0.23%), in labor force | age 35-44 (84.6% compared to 84.8%, a difference of 0.25%), and in labor force | age 20-64 (80.3% compared to 79.9%, a difference of 0.42%).

When considering family structure, the most significant differences between Afghan and Mongolian communities in the United States are seen in single father households (2.3% compared to 2.1%, a difference of 13.9%), family households with children (30.2% compared to 27.6%, a difference of 9.4%), and single mother households (6.3% compared to 5.8%, a difference of 8.7%). Conversely, both communities are more comparable in terms of births to unmarried women (27.9% compared to 27.9%, a difference of 0.040%), currently married (47.3% compared to 46.4%, a difference of 1.8%), and average family size (3.31 compared to 3.20, a difference of 3.6%).

When considering vehicle availability, the most significant differences between Afghan and Mongolian communities in the United States are seen in no vehicles in household (8.0% compared to 13.1%, a difference of 64.7%), 4 or more vehicles in household (7.3% compared to 5.8%, a difference of 25.0%), and 3 or more vehicles in household (21.7% compared to 18.1%, a difference of 19.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.1% compared to 87.0%, a difference of 5.9%), 2 or more vehicles in household (59.0% compared to 52.8%, a difference of 11.7%), and 3 or more vehicles in household (21.7% compared to 18.1%, a difference of 19.7%).

When considering education level, the most significant differences between Afghan and Mongolian communities in the United States are seen in doctorate degree (2.0% compared to 2.8%, a difference of 40.2%), professional degree (4.7% compared to 6.1%, a difference of 29.5%), and no schooling completed (2.6% compared to 2.1%, a difference of 22.8%). Conversely, both communities are more comparable in terms of nursery school (97.4% compared to 97.9%, a difference of 0.50%), 2nd grade (97.3% compared to 97.8%, a difference of 0.51%), and kindergarten (97.4% compared to 97.9%, a difference of 0.52%).

When considering disability, the most significant differences between Afghan and Mongolian communities in the United States are seen in disability age under 5 (0.94% compared to 1.1%, a difference of 21.4%), disability age over 75 (48.4% compared to 46.3%, a difference of 4.4%), and self-care disability (2.4% compared to 2.3%, a difference of 4.4%). Conversely, both communities are more comparable in terms of disability (10.8% compared to 10.8%, a difference of 0.10%), female disability (11.2% compared to 11.2%, a difference of 0.14%), and hearing disability (2.7% compared to 2.7%, a difference of 0.18%).