Bhutanese vs Immigrants from Northern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 299,819,937 people shows a mild negative correlation between the proportion of Immigrants from Northern Africa within Bhutanese communities in the United States with a correlation coefficient (R) of -0.364. On average, for every 1% (one percent) increase in Bhutanese within a typical geography, there is a decrease of 0.009% in Immigrants from Northern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bhutanese corresponds to a decrease of 8.7 Immigrants from Northern Africa.

When considering income, the most significant differences between Bhutanese and Immigrants from Northern Africa communities in the United States are seen in householder income over 65 years ($72,288 compared to $62,522, a difference of 15.6%), householder income ages 45 - 64 years ($117,750 compared to $105,430, a difference of 11.7%), and median household income ($100,151 compared to $90,026, a difference of 11.3%). Conversely, both communities are more comparable in terms of median female earnings ($43,648 compared to $42,084, a difference of 3.7%), median earnings ($52,297 compared to $49,648, a difference of 5.3%), and median male earnings ($61,759 compared to $58,008, a difference of 6.5%).

When considering poverty, the most significant differences between Bhutanese and Immigrants from Northern Africa communities in the United States are seen in married-couple family poverty (4.1% compared to 5.2%, a difference of 27.2%), child poverty among boys under 16 (12.6% compared to 16.0%, a difference of 27.2%), and child poverty under the age of 16 (12.5% compared to 15.8%, a difference of 26.4%). Conversely, both communities are more comparable in terms of single father poverty (15.0% compared to 15.3%, a difference of 2.5%), single male poverty (11.1% compared to 11.9%, a difference of 7.9%), 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 Immigrants from Northern Africa communities in the United States are seen in unemployment among women with children under 6 years (6.7% compared to 7.4%, a difference of 10.6%), unemployment among ages 45 to 54 years (4.2% compared to 4.5%, a difference of 9.0%), and unemployment among ages 65 to 74 years (5.0% compared to 5.5%, a difference of 8.8%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.2% compared to 6.3%, a difference of 0.30%), unemployment among ages 30 to 34 years (5.2% compared to 5.1%, a difference of 1.2%), and unemployment among seniors over 75 years (8.0% compared to 8.2%, a difference of 1.5%).

When considering labor participation, the most significant differences between Bhutanese and Immigrants from Northern Africa communities in the United States are seen in in labor force | age > 16 (65.5% compared to 66.6%, a difference of 1.7%), in labor force | age 20-24 (75.4% compared to 74.6%, a difference of 1.1%), and in labor force | age 16-19 (36.3% compared to 35.9%, a difference of 1.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.2% compared to 80.3%, a difference of 0.060%), in labor force | age 35-44 (84.7% compared to 84.8%, a difference of 0.22%), and in labor force | age 45-54 (83.5% compared to 83.3%, a difference of 0.22%).

When considering family structure, the most significant differences between Bhutanese and Immigrants from Northern Africa communities in the United States are seen in single mother households (5.3% compared to 6.2%, a difference of 17.1%), married-couple households (49.3% compared to 46.0%, a difference of 7.2%), and births to unmarried women (27.9% compared to 29.5%, a difference of 5.9%). Conversely, both communities are more comparable in terms of average family size (3.25 compared to 3.22, a difference of 0.81%), single father households (2.1% compared to 2.1%, a difference of 1.3%), and family households with children (27.3% compared to 27.8%, a difference of 1.9%).

When considering vehicle availability, the most significant differences between Bhutanese and Immigrants from Northern Africa communities in the United States are seen in no vehicles in household (8.7% compared to 12.6%, a difference of 44.6%), 4 or more vehicles in household (7.8% compared to 5.6%, a difference of 38.1%), and 3 or more vehicles in household (22.2% compared to 17.8%, a difference of 25.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 87.4%, a difference of 4.5%), 2 or more vehicles in household (59.1% compared to 52.3%, a difference of 12.9%), and 3 or more vehicles in household (22.2% compared to 17.8%, a difference of 25.1%).

When considering education level, the most significant differences between Bhutanese and Immigrants from Northern Africa communities in the United States are seen in no schooling completed (1.8% compared to 2.2%, a difference of 21.7%), doctorate degree (2.3% compared to 2.1%, a difference of 9.6%), and professional degree (5.4% compared to 5.1%, a difference of 7.5%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 97.8%, a difference of 0.42%), kindergarten (98.2% compared to 97.8%, a difference of 0.43%), and 1st grade (98.2% compared to 97.8%, a difference of 0.43%).

When considering disability, the most significant differences between Bhutanese and Immigrants from Northern Africa communities in the United States are seen in hearing disability (3.2% compared to 2.8%, a difference of 16.5%), disability age 5 to 17 (4.9% compared to 5.3%, a difference of 8.9%), and male disability (11.0% compared to 10.4%, a difference of 5.3%). Conversely, both communities are more comparable in terms of female disability (11.5% compared to 11.5%, a difference of 0.29%), disability age under 5 (1.2% compared to 1.2%, a difference of 0.50%), and disability age over 75 (47.1% compared to 46.7%, a difference of 0.74%).