Immigrants from North America vs Bhutanese Community Comparison

The statistical analysis conducted on geographies consisting of 406,508,327 people shows a poor positive correlation between the proportion of Bhutanese within Immigrant from North America communities in the United States with a correlation coefficient (R) of 0.119. On average, for every 1% (one percent) increase in Immigrants from North America within a typical geography, there is an increase of 0.035% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from North America corresponds to an increase of 35.2 Bhutanese.

When considering income, the most significant differences between Immigrants from North America and Bhutanese communities in the United States are seen in householder income over 65 years ($64,856 compared to $72,288, a difference of 11.5%), median household income ($91,860 compared to $100,151, a difference of 9.0%), and householder income ages 45 - 64 years ($109,198 compared to $117,750, a difference of 7.8%). Conversely, both communities are more comparable in terms of per capita income ($49,302 compared to $49,894, a difference of 1.2%), median male earnings ($60,265 compared to $61,759, a difference of 2.5%), and median earnings ($50,108 compared to $52,297, a difference of 4.4%).

When considering poverty, the most significant differences between Immigrants from North America and Bhutanese communities in the United States are seen in child poverty under the age of 5 (15.9% compared to 13.4%, a difference of 19.2%), child poverty among boys under 16 (14.8% compared to 12.6%, a difference of 17.6%), and child poverty among girls under 16 (14.9% compared to 12.7%, a difference of 16.8%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (9.9% compared to 9.3%, a difference of 5.5%), receiving food stamps (9.8% compared to 9.2%, a difference of 6.1%), and seniors poverty over the age of 75 (11.3% compared to 10.6%, a difference of 6.6%).

When considering unemployment, the most significant differences between Immigrants from North America and Bhutanese communities in the United States are seen in unemployment among seniors over 75 years (9.2% compared to 8.0%, a difference of 14.0%), unemployment among women with children ages 6 to 17 years (9.2% compared to 8.1%, a difference of 13.6%), and unemployment among women with children under 6 years (7.6% compared to 6.7%, a difference of 13.4%). Conversely, both communities are more comparable in terms of female unemployment (4.9% compared to 4.9%, a difference of 0.39%), unemployment (4.9% compared to 4.9%, a difference of 0.61%), and unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.71%).

When considering labor participation, the most significant differences between Immigrants from North America and Bhutanese communities in the United States are seen in in labor force | age 16-19 (38.9% compared to 36.3%, a difference of 7.2%), in labor force | age > 16 (63.7% compared to 65.5%, a difference of 2.8%), and in labor force | age 20-64 (79.0% compared to 80.2%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.8%, a difference of 0.040%), in labor force | age 30-34 (84.6% compared to 85.0%, a difference of 0.46%), and in labor force | age 20-24 (75.9% compared to 75.4%, a difference of 0.55%).

When considering family structure, the most significant differences between Immigrants from North America and Bhutanese communities in the United States are seen in births to unmarried women (30.6% compared to 27.9%, a difference of 9.6%), divorced or separated (12.1% compared to 11.2%, a difference of 8.2%), and single mother households (5.6% compared to 5.3%, a difference of 6.2%). Conversely, both communities are more comparable in terms of currently married (48.7% compared to 48.6%, a difference of 0.20%), married-couple households (48.4% compared to 49.3%, a difference of 1.8%), and single father households (2.2% compared to 2.1%, a difference of 2.5%).

When considering vehicle availability, the most significant differences between Immigrants from North America and Bhutanese communities in the United States are seen in 4 or more vehicles in household (6.5% compared to 7.8%, a difference of 19.4%), 3 or more vehicles in household (20.2% compared to 22.2%, a difference of 10.0%), and 2 or more vehicles in household (57.5% compared to 59.1%, a difference of 2.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 91.4%, a difference of 0.0%), no vehicles in household (8.7% compared to 8.7%, a difference of 0.36%), and 2 or more vehicles in household (57.5% compared to 59.1%, a difference of 2.7%).

When considering education level, the most significant differences between Immigrants from North America and Bhutanese communities in the United States are seen in no schooling completed (1.6% compared to 1.8%, a difference of 9.7%), doctorate degree (2.2% compared to 2.3%, a difference of 3.2%), and associate's degree (50.1% compared to 51.4%, a difference of 2.7%). Conversely, both communities are more comparable in terms of 11th grade (94.0% compared to 94.0%, a difference of 0.010%), master's degree (17.2% compared to 17.2%, a difference of 0.14%), and high school diploma (91.0% compared to 91.2%, a difference of 0.16%).

When considering disability, the most significant differences between Immigrants from North America and Bhutanese communities in the United States are seen in disability age under 5 (1.4% compared to 1.2%, a difference of 23.4%), disability age 5 to 17 (5.7% compared to 4.9%, a difference of 16.2%), and disability age 35 to 64 (11.0% compared to 9.8%, a difference of 12.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.5% compared to 16.6%, a difference of 0.42%), self-care disability (2.4% compared to 2.4%, a difference of 0.76%), and disability age 65 to 74 (22.1% compared to 21.5%, a difference of 2.8%).