Immigrants from South America vs Bhutanese Community Comparison

The statistical analysis conducted on geographies consisting of 422,992,109 people shows a mild negative correlation between the proportion of Bhutanese within Immigrant from South America communities in the United States with a correlation coefficient (R) of -0.383. On average, for every 1% (one percent) increase in Immigrants from South America within a typical geography, there is a decrease of 0.008% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South America corresponds to a decrease of 8.0 Bhutanese.

When considering income, the most significant differences between Immigrants from South America and Bhutanese communities in the United States are seen in householder income over 65 years ($59,151 compared to $72,288, a difference of 22.2%), median family income ($100,414 compared to $119,800, a difference of 19.3%), and householder income ages 45 - 64 years ($99,126 compared to $117,750, a difference of 18.8%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,268 compared to $57,078, a difference of 5.2%), wage/income gap (24.6% compared to 27.0%, a difference of 9.6%), and median female earnings ($39,643 compared to $43,648, a difference of 10.1%).

When considering poverty, the most significant differences between Immigrants from South America and Bhutanese communities in the United States are seen in married-couple family poverty (5.7% compared to 4.1%, a difference of 40.2%), receiving food stamps (12.8% compared to 9.2%, a difference of 39.3%), and seniors poverty over the age of 65 (12.7% compared to 9.3%, a difference of 36.2%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (17.9% compared to 18.2%, a difference of 1.6%), single father poverty (15.9% compared to 15.0%, a difference of 6.4%), and single male poverty (12.1% compared to 11.1%, a difference of 9.1%).

When considering unemployment, the most significant differences between Immigrants from South America and Bhutanese communities in the United States are seen in unemployment among women with children ages 6 to 17 years (9.4% compared to 8.1%, a difference of 16.5%), unemployment among women with children under 18 years (5.8% compared to 5.0%, a difference of 15.9%), and unemployment among ages 16 to 19 years (18.7% compared to 16.4%, a difference of 13.7%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.9% compared to 4.6%, a difference of 5.8%), unemployment among ages 20 to 24 years (10.6% compared to 10.0%, a difference of 6.0%), and unemployment among ages 30 to 34 years (5.5% compared to 5.2%, a difference of 6.4%).

When considering labor participation, the most significant differences between Immigrants from South America and Bhutanese communities in the United States are seen in in labor force | age 16-19 (33.3% compared to 36.3%, a difference of 9.0%), in labor force | age 20-24 (73.3% compared to 75.4%, a difference of 2.9%), and in labor force | age > 16 (66.0% compared to 65.5%, a difference of 0.81%). 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 25-29 (84.6% compared to 84.8%, a difference of 0.26%), and in labor force | age 20-64 (80.0% compared to 80.2%, a difference of 0.30%).

When considering family structure, the most significant differences between Immigrants from South America and Bhutanese communities in the United States are seen in single mother households (6.7% compared to 5.3%, a difference of 26.2%), births to unmarried women (32.0% compared to 27.9%, a difference of 14.6%), and divorced or separated (12.2% compared to 11.2%, a difference of 9.5%). Conversely, both communities are more comparable in terms of family households (65.6% compared to 65.9%, a difference of 0.34%), average family size (3.27 compared to 3.25, a difference of 0.67%), and family households with children (28.0% compared to 27.3%, a difference of 2.8%).

When considering vehicle availability, the most significant differences between Immigrants from South America and Bhutanese communities in the United States are seen in 4 or more vehicles in household (5.2% compared to 7.8%, a difference of 50.0%), 3 or more vehicles in household (16.7% compared to 22.2%, a difference of 33.2%), and no vehicles in household (11.3% compared to 8.7%, a difference of 29.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 91.4%, a difference of 2.9%), 2 or more vehicles in household (50.2% compared to 59.1%, a difference of 17.7%), and no vehicles in household (11.3% compared to 8.7%, a difference of 29.2%).

When considering education level, the most significant differences between Immigrants from South America and Bhutanese communities in the United States are seen in no schooling completed (2.5% compared to 1.8%, a difference of 36.2%), doctorate degree (1.8% compared to 2.3%, a difference of 32.0%), and professional degree (4.6% compared to 5.4%, a difference of 17.4%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.2%, a difference of 0.69%), kindergarten (97.5% compared to 98.2%, a difference of 0.70%), and 1st grade (97.5% compared to 98.2%, a difference of 0.71%).

When considering disability, the most significant differences between Immigrants from South America and Bhutanese communities in the United States are seen in hearing disability (2.7% compared to 3.2%, a difference of 20.9%), disability age 5 to 17 (5.4% compared to 4.9%, a difference of 9.5%), and vision disability (2.1% compared to 2.0%, a difference of 8.7%). Conversely, both communities are more comparable in terms of female disability (11.4% compared to 11.5%, a difference of 0.53%), ambulatory disability (5.8% compared to 5.8%, a difference of 0.78%), and disability age over 75 (46.7% compared to 47.1%, a difference of 0.82%).