Asian vs Bhutanese Community Comparison

The statistical analysis conducted on geographies consisting of 452,600,247 people shows a moderate positive correlation between the proportion of Bhutanese within Asian communities in the United States with a correlation coefficient (R) of 0.424. On average, for every 1% (one percent) increase in Asians within a typical geography, there is an increase of 0.083% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to an increase of 82.6 Bhutanese.

When considering income, the most significant differences between Asian and Bhutanese communities in the United States are seen in householder income over 65 years ($68,822 compared to $72,288, a difference of 5.0%), median male earnings ($63,827 compared to $61,759, a difference of 3.4%), and householder income ages 25 - 44 years ($112,666 compared to $109,520, a difference of 2.9%). Conversely, both communities are more comparable in terms of median family income ($119,955 compared to $119,800, a difference of 0.13%), householder income under 25 years ($57,003 compared to $57,078, a difference of 0.13%), and wage/income gap (26.9% compared to 27.0%, a difference of 0.19%).

When considering poverty, the most significant differences between Asian and Bhutanese communities in the United States are seen in married-couple family poverty (4.7% compared to 4.1%, a difference of 13.8%), seniors poverty over the age of 75 (12.0% compared to 10.6%, a difference of 13.5%), and seniors poverty over the age of 65 (10.4% compared to 9.3%, a difference of 11.3%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (18.2% compared to 18.2%, a difference of 0.080%), female poverty among 25-34 year olds (11.4% compared to 11.4%, a difference of 0.31%), and single male poverty (11.2% compared to 11.1%, a difference of 1.2%).

When considering unemployment, the most significant differences between Asian and Bhutanese communities in the United States are seen in unemployment among ages 60 to 64 years (4.9% compared to 4.5%, a difference of 7.4%), unemployment among seniors over 65 years (5.1% compared to 4.8%, a difference of 4.9%), and female unemployment (5.2% compared to 4.9%, a difference of 4.8%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (6.7% compared to 6.7%, a difference of 0.54%), unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 0.75%), and unemployment among ages 25 to 29 years (6.3% compared to 6.2%, a difference of 1.1%).

When considering labor participation, the most significant differences between Asian and Bhutanese communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 36.3%, a difference of 6.5%), in labor force | age 20-24 (73.7% compared to 75.4%, a difference of 2.4%), and in labor force | age > 16 (66.2% compared to 65.5%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.8%, a difference of 0.020%), in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.020%), and in labor force | age 45-54 (83.4% compared to 83.5%, a difference of 0.070%).

When considering family structure, the most significant differences between Asian and Bhutanese communities in the United States are seen in family households with children (29.1% compared to 27.3%, a difference of 6.5%), single mother households (5.6% compared to 5.3%, a difference of 5.9%), and divorced or separated (10.6% compared to 11.2%, a difference of 5.1%). Conversely, both communities are more comparable in terms of married-couple households (49.5% compared to 49.3%, a difference of 0.43%), currently married (48.4% compared to 48.6%, a difference of 0.47%), and single father households (2.1% compared to 2.1%, a difference of 0.64%).

When considering vehicle availability, the most significant differences between Asian and Bhutanese communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 7.8%, a difference of 11.2%), 3 or more vehicles in household (20.8% compared to 22.2%, a difference of 7.2%), and 2 or more vehicles in household (57.0% compared to 59.1%, a difference of 3.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 91.4%, a difference of 0.32%), no vehicles in household (9.0% compared to 8.7%, a difference of 3.0%), and 2 or more vehicles in household (57.0% compared to 59.1%, a difference of 3.7%).

When considering education level, the most significant differences between Asian and Bhutanese communities in the United States are seen in no schooling completed (2.4% compared to 1.8%, a difference of 33.2%), master's degree (18.4% compared to 17.2%, a difference of 7.3%), and doctorate degree (2.4% compared to 2.3%, a difference of 4.6%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.2%, a difference of 0.61%), kindergarten (97.6% compared to 98.2%, a difference of 0.62%), and 1st grade (97.6% compared to 98.2%, a difference of 0.63%).

When considering disability, the most significant differences between Asian and Bhutanese communities in the United States are seen in hearing disability (2.7% compared to 3.2%, a difference of 17.2%), male disability (10.0% compared to 11.0%, a difference of 10.0%), and disability age under 5 (1.1% compared to 1.2%, a difference of 7.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 47.1%, a difference of 0.29%), disability age 65 to 74 (21.4% compared to 21.5%, a difference of 0.56%), and cognitive disability (16.7% compared to 16.6%, a difference of 1.1%).