Bhutanese vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 334,541,472 people shows a mild negative correlation between the proportion of Peruvians within Bhutanese communities in the United States with a correlation coefficient (R) of -0.387. On average, for every 1% (one percent) increase in Bhutanese within a typical geography, there is a decrease of 0.008% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bhutanese corresponds to a decrease of 8.0 Peruvians.

When considering income, the most significant differences between Bhutanese and Peruvian communities in the United States are seen in householder income over 65 years ($72,288 compared to $62,766, a difference of 15.2%), median family income ($119,800 compared to $105,444, a difference of 13.6%), and per capita income ($49,894 compared to $44,479, a difference of 12.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,078 compared to $56,052, a difference of 1.8%), wage/income gap (27.0% compared to 25.6%, a difference of 5.4%), and median female earnings ($43,648 compared to $40,234, a difference of 8.5%).

When considering poverty, the most significant differences between Bhutanese and Peruvian communities in the United States are seen in married-couple family poverty (4.1% compared to 5.3%, a difference of 29.3%), receiving food stamps (9.2% compared to 11.7%, a difference of 27.5%), and seniors poverty over the age of 75 (10.6% compared to 13.4%, a difference of 26.4%). Conversely, both communities are more comparable in terms of single father poverty (15.0% compared to 15.4%, a difference of 3.0%), female poverty among 18-24 year olds (18.2% compared to 17.2%, a difference of 5.7%), and single male poverty (11.1% compared to 11.8%, a difference of 6.4%).

When considering unemployment, the most significant differences between Bhutanese and Peruvian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.1% compared to 9.2%, a difference of 14.1%), unemployment among women with children under 18 years (5.0% compared to 5.6%, a difference of 13.1%), and unemployment among seniors over 75 years (8.0% compared to 9.0%, a difference of 12.3%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.0% compared to 10.5%, a difference of 4.8%), unemployment among ages 30 to 34 years (5.2% compared to 5.5%, a difference of 4.8%), and unemployment among ages 55 to 59 years (4.6% compared to 4.8%, a difference of 5.1%).

When considering labor participation, the most significant differences between Bhutanese and Peruvian communities in the United States are seen in in labor force | age 16-19 (36.3% compared to 34.6%, a difference of 4.9%), in labor force | age > 16 (65.5% compared to 66.3%, a difference of 1.3%), and in labor force | age 20-24 (75.4% compared to 74.5%, a difference of 1.2%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.5% compared to 83.6%, a difference of 0.060%), in labor force | age 20-64 (80.2% compared to 80.3%, a difference of 0.10%), and in labor force | age 25-29 (84.8% compared to 84.7%, a difference of 0.10%).

When considering family structure, the most significant differences between Bhutanese and Peruvian communities in the United States are seen in single mother households (5.3% compared to 6.5%, a difference of 23.8%), births to unmarried women (27.9% compared to 31.5%, a difference of 13.0%), and single father households (2.1% compared to 2.4%, a difference of 12.6%). Conversely, both communities are more comparable in terms of average family size (3.25 compared to 3.30, a difference of 1.5%), family households (65.9% compared to 67.1%, a difference of 1.9%), and married-couple households (49.3% compared to 47.6%, a difference of 3.4%).

When considering vehicle availability, the most significant differences between Bhutanese and Peruvian communities in the United States are seen in no vehicles in household (8.7% compared to 11.2%, a difference of 29.1%), 4 or more vehicles in household (7.8% compared to 6.5%, a difference of 20.8%), and 3 or more vehicles in household (22.2% compared to 19.6%, a difference of 13.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 88.8%, a difference of 2.9%), 2 or more vehicles in household (59.1% compared to 55.0%, a difference of 7.5%), and 3 or more vehicles in household (22.2% compared to 19.6%, a difference of 13.3%).

When considering education level, the most significant differences between Bhutanese and Peruvian communities in the United States are seen in no schooling completed (1.8% compared to 2.4%, a difference of 32.7%), doctorate degree (2.3% compared to 1.8%, a difference of 29.3%), and professional degree (5.4% compared to 4.5%, a difference of 20.7%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 97.6%, a difference of 0.62%), kindergarten (98.2% compared to 97.6%, a difference of 0.63%), and 1st grade (98.2% compared to 97.6%, a difference of 0.63%).

When considering disability, the most significant differences between Bhutanese and Peruvian communities in the United States are seen in hearing disability (3.2% compared to 2.7%, a difference of 17.5%), disability age 5 to 17 (4.9% compared to 5.3%, a difference of 8.6%), and disability age under 5 (1.2% compared to 1.3%, a difference of 7.2%). Conversely, both communities are more comparable in terms of disability age 35 to 64 (9.8% compared to 9.9%, a difference of 0.17%), disability age over 75 (47.1% compared to 46.8%, a difference of 0.50%), and self-care disability (2.4% compared to 2.4%, a difference of 0.61%).