Immigrants from Liberia vs Bhutanese Community Comparison

The statistical analysis conducted on geographies consisting of 128,375,414 people shows a poor negative correlation between the proportion of Bhutanese within Immigrant from Liberia communities in the United States with a correlation coefficient (R) of -0.130. On average, for every 1% (one percent) increase in Immigrants from Liberia within a typical geography, there is a decrease of 0.013% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Liberia corresponds to a decrease of 13.0 Bhutanese.

When considering income, the most significant differences between Immigrants from Liberia and Bhutanese communities in the United States are seen in householder income ages 25 - 44 years ($80,863 compared to $109,520, a difference of 35.4%), householder income ages 45 - 64 years ($87,739 compared to $117,750, a difference of 34.2%), and householder income over 65 years ($53,967 compared to $72,288, a difference of 34.0%). Conversely, both communities are more comparable in terms of median female earnings ($37,970 compared to $43,648, a difference of 14.9%), householder income under 25 years ($47,981 compared to $57,078, a difference of 19.0%), and median earnings ($42,923 compared to $52,297, a difference of 21.8%).

When considering poverty, the most significant differences between Immigrants from Liberia and Bhutanese communities in the United States are seen in receiving food stamps (15.1% compared to 9.2%, a difference of 63.8%), child poverty among girls under 16 (20.2% compared to 12.7%, a difference of 58.8%), and child poverty under the age of 16 (19.7% compared to 12.5%, a difference of 57.4%). Conversely, both communities are more comparable in terms of single father poverty (15.9% compared to 15.0%, a difference of 6.1%), female poverty among 18-24 year olds (20.7% compared to 18.2%, a difference of 13.8%), and single male poverty (12.7% compared to 11.1%, a difference of 14.7%).

When considering unemployment, the most significant differences between Immigrants from Liberia and Bhutanese communities in the United States are seen in unemployment among seniors over 75 years (10.9% compared to 8.0%, a difference of 35.3%), unemployment among women with children ages 6 to 17 years (10.3% compared to 8.1%, a difference of 28.0%), and unemployment among women with children under 6 years (8.4% compared to 6.7%, a difference of 25.0%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.7% compared to 4.5%, a difference of 3.0%), unemployment among ages 55 to 59 years (5.0% compared to 4.6%, a difference of 8.1%), and unemployment among ages 16 to 19 years (18.1% compared to 16.4%, a difference of 10.3%).

When considering labor participation, the most significant differences between Immigrants from Liberia and Bhutanese communities in the United States are seen in in labor force | age 16-19 (41.5% compared to 36.3%, a difference of 14.2%), in labor force | age > 16 (67.6% compared to 65.5%, a difference of 3.3%), and in labor force | age 20-24 (77.1% compared to 75.4%, a difference of 2.2%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.5% compared to 80.2%, a difference of 0.37%), in labor force | age 35-44 (85.4% compared to 84.7%, a difference of 0.82%), and in labor force | age 45-54 (82.7% compared to 83.5%, a difference of 0.92%).

When considering family structure, the most significant differences between Immigrants from Liberia and Bhutanese communities in the United States are seen in single mother households (8.7% compared to 5.3%, a difference of 65.0%), births to unmarried women (37.6% compared to 27.9%, a difference of 35.0%), and married-couple households (40.3% compared to 49.3%, a difference of 22.1%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.25, a difference of 0.68%), family households with children (28.2% compared to 27.3%, a difference of 3.5%), and family households (62.0% compared to 65.9%, a difference of 6.2%).

When considering vehicle availability, the most significant differences between Immigrants from Liberia and Bhutanese communities in the United States are seen in 4 or more vehicles in household (5.4% compared to 7.8%, a difference of 45.6%), no vehicles in household (12.2% compared to 8.7%, a difference of 40.2%), and 3 or more vehicles in household (17.1% compared to 22.2%, a difference of 30.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.8% compared to 91.4%, a difference of 4.1%), 2 or more vehicles in household (51.3% compared to 59.1%, a difference of 15.1%), and 3 or more vehicles in household (17.1% compared to 22.2%, a difference of 30.1%).

When considering education level, the most significant differences between Immigrants from Liberia and Bhutanese communities in the United States are seen in professional degree (3.4% compared to 5.4%, a difference of 58.5%), doctorate degree (1.5% compared to 2.3%, a difference of 56.0%), and master's degree (12.5% compared to 17.2%, a difference of 37.4%). Conversely, both communities are more comparable in terms of nursery school (97.5% compared to 98.2%, a difference of 0.72%), 1st grade (97.5% compared to 98.2%, a difference of 0.72%), and kindergarten (97.5% compared to 98.2%, a difference of 0.73%).

When considering disability, the most significant differences between Immigrants from Liberia and Bhutanese communities in the United States are seen in disability age 35 to 64 (13.2% compared to 9.8%, a difference of 34.6%), disability age 5 to 17 (6.1% compared to 4.9%, a difference of 24.7%), and vision disability (2.4% compared to 2.0%, a difference of 22.3%). Conversely, both communities are more comparable in terms of disability age over 75 (48.1% compared to 47.1%, a difference of 2.1%), male disability (11.9% compared to 11.0%, a difference of 8.8%), and self-care disability (2.6% compared to 2.4%, a difference of 10.3%).