Immigrants from Western Africa vs Bhutanese Community Comparison

The statistical analysis conducted on geographies consisting of 326,485,459 people shows a substantial negative correlation between the proportion of Bhutanese within Immigrant from Western Africa communities in the United States with a correlation coefficient (R) of -0.504. On average, for every 1% (one percent) increase in Immigrants from Western Africa within a typical geography, there is a decrease of 0.027% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Africa corresponds to a decrease of 27.2 Bhutanese.

When considering income, the most significant differences between Immigrants from Western Africa and Bhutanese communities in the United States are seen in householder income ages 25 - 44 years ($85,676 compared to $109,520, a difference of 27.8%), householder income ages 45 - 64 years ($92,384 compared to $117,750, a difference of 27.5%), and median family income ($94,638 compared to $119,800, a difference of 26.6%). Conversely, both communities are more comparable in terms of median female earnings ($39,351 compared to $43,648, a difference of 10.9%), householder income under 25 years ($49,621 compared to $57,078, a difference of 15.0%), and median earnings ($44,893 compared to $52,297, a difference of 16.5%).

When considering poverty, the most significant differences between Immigrants from Western Africa and Bhutanese communities in the United States are seen in receiving food stamps (14.7% compared to 9.2%, a difference of 59.3%), child poverty among boys under 16 (19.3% compared to 12.6%, a difference of 52.9%), and child poverty under the age of 16 (19.2% compared to 12.5%, a difference of 52.9%). Conversely, both communities are more comparable in terms of single father poverty (16.4% compared to 15.0%, a difference of 9.6%), female poverty among 18-24 year olds (20.6% compared to 18.2%, a difference of 13.4%), and single mother poverty (29.9% compared to 25.6%, a difference of 16.6%).

When considering unemployment, the most significant differences between Immigrants from Western Africa and Bhutanese communities in the United States are seen in male unemployment (6.2% compared to 4.9%, a difference of 25.2%), unemployment among women with children ages 6 to 17 years (10.1% compared to 8.1%, a difference of 24.9%), and unemployment among women with children under 18 years (6.2% compared to 5.0%, a difference of 24.6%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.5%, a difference of 8.3%), unemployment among ages 55 to 59 years (5.1% compared to 4.6%, a difference of 11.4%), and unemployment among ages 65 to 74 years (5.6% compared to 5.0%, a difference of 12.2%).

When considering labor participation, the most significant differences between Immigrants from Western Africa and Bhutanese communities in the United States are seen in in labor force | age > 16 (67.1% compared to 65.5%, a difference of 2.5%), in labor force | age 16-19 (36.9% compared to 36.3%, a difference of 1.7%), and in labor force | age 45-54 (82.8% compared to 83.5%, a difference of 0.86%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.0% compared to 85.0%, a difference of 0.050%), in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.080%), and in labor force | age 25-29 (84.7% compared to 84.8%, a difference of 0.14%).

When considering family structure, the most significant differences between Immigrants from Western Africa and Bhutanese communities in the United States are seen in single mother households (8.2% compared to 5.3%, a difference of 54.7%), births to unmarried women (36.0% compared to 27.9%, a difference of 29.0%), and married-couple households (41.4% compared to 49.3%, a difference of 19.1%). Conversely, both communities are more comparable in terms of average family size (3.29 compared to 3.25, a difference of 1.2%), family households with children (28.3% compared to 27.3%, a difference of 3.7%), and family households (63.1% compared to 65.9%, a difference of 4.3%).

When considering vehicle availability, the most significant differences between Immigrants from Western Africa and Bhutanese communities in the United States are seen in no vehicles in household (15.0% compared to 8.7%, a difference of 72.1%), 4 or more vehicles in household (5.4% compared to 7.8%, a difference of 44.3%), and 3 or more vehicles in household (16.9% compared to 22.2%, a difference of 31.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (84.9% compared to 91.4%, a difference of 7.6%), 2 or more vehicles in household (49.4% compared to 59.1%, a difference of 19.7%), and 3 or more vehicles in household (16.9% compared to 22.2%, a difference of 31.5%).

When considering education level, the most significant differences between Immigrants from Western Africa and Bhutanese communities in the United States are seen in no schooling completed (2.6% compared to 1.8%, a difference of 43.1%), professional degree (4.0% compared to 5.4%, a difference of 35.8%), and doctorate degree (1.7% compared to 2.3%, a difference of 34.6%). Conversely, both communities are more comparable in terms of nursery school (97.4% compared to 98.2%, a difference of 0.82%), kindergarten (97.4% compared to 98.2%, a difference of 0.83%), and 1st grade (97.4% compared to 98.2%, a difference of 0.83%).

When considering disability, the most significant differences between Immigrants from Western Africa and Bhutanese communities in the United States are seen in hearing disability (2.6% compared to 3.2%, a difference of 22.7%), disability age 35 to 64 (12.0% compared to 9.8%, a difference of 22.4%), and disability age 5 to 17 (5.9% compared to 4.9%, a difference of 21.4%). Conversely, both communities are more comparable in terms of male disability (11.1% compared to 11.0%, a difference of 1.1%), disability age over 75 (48.0% compared to 47.1%, a difference of 1.9%), and disability (11.7% compared to 11.2%, a difference of 4.3%).