Bhutanese vs Immigrants from Eastern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 327,746,259 people shows a moderate negative correlation between the proportion of Immigrants from Eastern Africa within Bhutanese communities in the United States with a correlation coefficient (R) of -0.491. On average, for every 1% (one percent) increase in Bhutanese within a typical geography, there is a decrease of 0.010% in Immigrants from Eastern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Bhutanese corresponds to a decrease of 10.1 Immigrants from Eastern Africa.

When considering income, the most significant differences between Bhutanese and Immigrants from Eastern Africa communities in the United States are seen in householder income ages 25 - 44 years ($109,520 compared to $91,458, a difference of 19.8%), householder income ages 45 - 64 years ($117,750 compared to $98,467, a difference of 19.6%), and median household income ($100,151 compared to $84,299, a difference of 18.8%). Conversely, both communities are more comparable in terms of median female earnings ($43,648 compared to $40,644, a difference of 7.4%), median earnings ($52,297 compared to $46,969, a difference of 11.3%), and householder income under 25 years ($57,078 compared to $51,158, a difference of 11.6%).

When considering poverty, the most significant differences between Bhutanese and Immigrants from Eastern Africa communities in the United States are seen in child poverty among boys under 16 (12.6% compared to 17.7%, a difference of 40.5%), child poverty under the age of 16 (12.5% compared to 17.6%, a difference of 40.5%), and child poverty among girls under 16 (12.7% compared to 17.7%, a difference of 39.2%). Conversely, both communities are more comparable in terms of single father poverty (15.0% compared to 14.7%, a difference of 1.8%), single male poverty (11.1% compared to 12.3%, a difference of 11.1%), and seniors poverty over the age of 75 (10.6% compared to 12.1%, a difference of 14.2%).

When considering unemployment, the most significant differences between Bhutanese and Immigrants from Eastern Africa communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.1% compared to 8.9%, a difference of 9.9%), unemployment among women with children under 18 years (5.0% compared to 5.4%, a difference of 9.2%), and unemployment among seniors over 75 years (8.0% compared to 8.7%, a difference of 8.2%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.0% compared to 5.0%, a difference of 0.20%), unemployment among youth under 25 years (11.2% compared to 11.1%, a difference of 0.77%), and unemployment among seniors over 65 years (4.8% compared to 4.9%, a difference of 1.6%).

When considering labor participation, the most significant differences between Bhutanese and Immigrants from Eastern Africa communities in the United States are seen in in labor force | age 16-19 (36.3% compared to 40.4%, a difference of 11.2%), in labor force | age > 16 (65.5% compared to 68.5%, a difference of 4.6%), and in labor force | age 20-24 (75.4% compared to 77.5%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.5% compared to 83.9%, a difference of 0.50%), in labor force | age 35-44 (84.7% compared to 85.4%, a difference of 0.89%), and in labor force | age 30-34 (85.0% compared to 85.9%, a difference of 1.1%).

When considering family structure, the most significant differences between Bhutanese and Immigrants from Eastern Africa communities in the United States are seen in single mother households (5.3% compared to 6.8%, a difference of 29.6%), married-couple households (49.3% compared to 42.9%, a difference of 14.7%), and single father households (2.1% compared to 2.4%, a difference of 14.7%). Conversely, both communities are more comparable in terms of average family size (3.25 compared to 3.22, a difference of 1.1%), family households with children (27.3% compared to 27.7%, a difference of 1.4%), and family households (65.9% compared to 61.1%, a difference of 7.7%).

When considering vehicle availability, the most significant differences between Bhutanese and Immigrants from Eastern Africa communities in the United States are seen in 4 or more vehicles in household (7.8% compared to 5.7%, a difference of 36.1%), 3 or more vehicles in household (22.2% compared to 18.0%, a difference of 23.4%), and no vehicles in household (8.7% compared to 10.0%, a difference of 15.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 90.1%, a difference of 1.4%), 2 or more vehicles in household (59.1% compared to 53.7%, a difference of 9.9%), and no vehicles in household (8.7% compared to 10.0%, a difference of 15.2%).

When considering education level, the most significant differences between Bhutanese and Immigrants from Eastern Africa communities in the United States are seen in no schooling completed (1.8% compared to 2.4%, a difference of 34.5%), professional degree (5.4% compared to 4.8%, a difference of 13.1%), and doctorate degree (2.3% compared to 2.1%, a difference of 10.1%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 97.6%, a difference of 0.63%), 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 Immigrants from Eastern Africa communities in the United States are seen in disability age 5 to 17 (4.9% compared to 5.7%, a difference of 15.9%), disability age 35 to 64 (9.8% compared to 11.3%, a difference of 15.3%), and hearing disability (3.2% compared to 2.8%, a difference of 15.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.1% compared to 47.2%, a difference of 0.19%), disability (11.2% compared to 11.3%, a difference of 0.29%), and male disability (11.0% compared to 10.8%, a difference of 1.7%).