Immigrants from Eastern Africa vs Bhutanese Community Comparison

The statistical analysis conducted on geographies consisting of 327,680,711 people shows a slight negative correlation between the proportion of Bhutanese within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of -0.071. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is a decrease of 0.006% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to a decrease of 6.3 Bhutanese.

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

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

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

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

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

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

When considering education level, the most significant differences between Immigrants from Eastern Africa and Bhutanese communities in the United States are seen in no schooling completed (2.4% compared to 1.8%, a difference of 34.5%), professional degree (4.8% compared to 5.4%, a difference of 13.1%), and doctorate degree (2.1% compared to 2.3%, a difference of 10.1%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.2%, a difference of 0.63%), kindergarten (97.6% compared to 98.2%, a difference of 0.63%), and 1st grade (97.6% compared to 98.2%, a difference of 0.63%).

When considering disability, the most significant differences between Immigrants from Eastern Africa and Bhutanese communities in the United States are seen in disability age 5 to 17 (5.7% compared to 4.9%, a difference of 15.9%), disability age 35 to 64 (11.3% compared to 9.8%, a difference of 15.3%), and hearing disability (2.8% compared to 3.2%, a difference of 15.0%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 47.1%, a difference of 0.19%), disability (11.3% compared to 11.2%, a difference of 0.29%), and male disability (10.8% compared to 11.0%, a difference of 1.7%).