Bhutanese vs Slavic Community Comparison

The statistical analysis conducted on geographies consisting of 250,035,686 people shows a poor negative correlation between the proportion of Slavs within Bhutanese communities in the United States with a correlation coefficient (R) of -0.146. On average, for every 1% (one percent) increase in Bhutanese within a typical geography, there is a decrease of 0.003% in Slavs. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bhutanese corresponds to a decrease of 2.6 Slavs.

When considering income, the most significant differences between Bhutanese and Slavic communities in the United States are seen in householder income over 65 years ($72,288 compared to $61,709, a difference of 17.1%), median household income ($100,151 compared to $86,398, a difference of 15.9%), and householder income ages 45 - 64 years ($117,750 compared to $102,629, a difference of 14.7%). Conversely, both communities are more comparable in terms of wage/income gap (27.0% compared to 27.4%, a difference of 1.7%), median male earnings ($61,759 compared to $56,390, a difference of 9.5%), and median earnings ($52,297 compared to $47,470, a difference of 10.2%).

When considering poverty, the most significant differences between Bhutanese and Slavic communities in the United States are seen in child poverty under the age of 5 (13.4% compared to 17.0%, a difference of 27.1%), child poverty among boys under 16 (12.6% compared to 15.7%, a difference of 24.3%), and child poverty among girls under 16 (12.7% compared to 15.7%, a difference of 23.3%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (9.3% compared to 9.8%, a difference of 4.4%), seniors poverty over the age of 75 (10.6% compared to 11.2%, a difference of 5.9%), and female poverty among 18-24 year olds (18.2% compared to 19.7%, a difference of 8.2%).

When considering unemployment, the most significant differences between Bhutanese and Slavic communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 7.7%, a difference of 15.3%), unemployment among seniors over 75 years (8.0% compared to 9.2%, a difference of 13.8%), and unemployment among women with children ages 6 to 17 years (8.1% compared to 8.7%, a difference of 8.2%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.040%), unemployment among ages 20 to 24 years (10.0% compared to 10.0%, a difference of 0.25%), and unemployment (4.9% compared to 4.9%, a difference of 0.52%).

When considering labor participation, the most significant differences between Bhutanese and Slavic communities in the United States are seen in in labor force | age 16-19 (36.3% compared to 40.4%, a difference of 11.3%), in labor force | age 20-24 (75.4% compared to 76.9%, a difference of 1.9%), and in labor force | age > 16 (65.5% compared to 64.6%, a difference of 1.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.020%), in labor force | age 30-34 (85.0% compared to 85.0%, a difference of 0.060%), and in labor force | age 25-29 (84.8% compared to 85.1%, a difference of 0.28%).

When considering family structure, the most significant differences between Bhutanese and Slavic communities in the United States are seen in births to unmarried women (27.9% compared to 31.6%, a difference of 13.4%), single mother households (5.3% compared to 5.9%, a difference of 11.2%), and divorced or separated (11.2% compared to 12.2%, a difference of 9.3%). Conversely, both communities are more comparable in terms of currently married (48.6% compared to 48.4%, a difference of 0.58%), family households with children (27.3% compared to 26.8%, a difference of 1.8%), and family households (65.9% compared to 64.0%, a difference of 2.9%).

When considering vehicle availability, the most significant differences between Bhutanese and Slavic communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 6.6%, a difference of 18.8%), 3 or more vehicles in household (22.2% compared to 20.4%, a difference of 9.0%), and no vehicles in household (8.7% compared to 9.0%, a difference of 2.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 91.2%, a difference of 0.20%), 2 or more vehicles in household (59.1% compared to 57.8%, a difference of 2.2%), and no vehicles in household (8.7% compared to 9.0%, a difference of 2.7%).

When considering education level, the most significant differences between Bhutanese and Slavic communities in the United States are seen in doctorate degree (2.3% compared to 1.9%, a difference of 21.9%), professional degree (5.4% compared to 4.5%, a difference of 19.6%), and master's degree (17.2% compared to 15.5%, a difference of 10.9%). Conversely, both communities are more comparable in terms of 11th grade (94.0% compared to 94.1%, a difference of 0.070%), high school diploma (91.2% compared to 91.0%, a difference of 0.16%), and nursery school (98.2% compared to 98.4%, a difference of 0.18%).

When considering disability, the most significant differences between Bhutanese and Slavic communities in the United States are seen in disability age 5 to 17 (4.9% compared to 5.9%, a difference of 21.1%), disability age under 5 (1.2% compared to 1.4%, a difference of 20.3%), and disability age 18 to 34 (6.2% compared to 7.4%, a difference of 18.7%). Conversely, both communities are more comparable in terms of cognitive disability (16.6% compared to 16.7%, a difference of 0.60%), disability age over 75 (47.1% compared to 46.1%, a difference of 2.1%), and self-care disability (2.4% compared to 2.5%, a difference of 4.3%).