Kenyan vs Bhutanese Community Comparison

The statistical analysis conducted on geographies consisting of 161,300,904 people shows a slight positive correlation between the proportion of Bhutanese within Kenyan communities in the United States with a correlation coefficient (R) of 0.059. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is an increase of 0.031% in Bhutanese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to an increase of 31.1 Bhutanese.

When considering income, the most significant differences between Kenyan and Bhutanese communities in the United States are seen in householder income over 65 years ($60,514 compared to $72,288, a difference of 19.5%), householder income ages 25 - 44 years ($91,684 compared to $109,520, a difference of 19.5%), and median household income ($84,085 compared to $100,151, a difference of 19.1%). Conversely, both communities are more comparable in terms of median female earnings ($39,860 compared to $43,648, a difference of 9.5%), wage/income gap (24.5% compared to 27.0%, a difference of 10.3%), and householder income under 25 years ($50,815 compared to $57,078, a difference of 12.3%).

When considering poverty, the most significant differences between Kenyan and Bhutanese communities in the United States are seen in child poverty among girls under 16 (16.8% compared to 12.7%, a difference of 32.0%), child poverty under the age of 16 (16.5% compared to 12.5%, a difference of 31.9%), and child poverty among boys under 16 (16.6% compared to 12.6%, a difference of 31.8%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.0%, a difference of 2.3%), seniors poverty over the age of 75 (11.5% compared to 10.6%, a difference of 8.8%), and seniors poverty over the age of 65 (10.3% compared to 9.3%, a difference of 9.8%).

When considering unemployment, the most significant differences between Kenyan and Bhutanese communities in the United States are seen in unemployment among women with children under 6 years (7.6% compared to 6.7%, a difference of 13.0%), unemployment among seniors over 75 years (9.1% compared to 8.0%, a difference of 12.8%), and unemployment among women with children ages 6 to 17 years (8.8% compared to 8.1%, a difference of 9.0%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.3% compared to 6.2%, a difference of 0.17%), unemployment among ages 30 to 34 years (5.2% compared to 5.2%, a difference of 0.38%), and unemployment among youth under 25 years (11.2% compared to 11.2%, a difference of 0.56%).

When considering labor participation, the most significant differences between Kenyan and Bhutanese communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 36.3%, a difference of 10.6%), in labor force | age > 16 (67.6% compared to 65.5%, a difference of 3.3%), and in labor force | age 20-24 (77.0% compared to 75.4%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.7% compared to 83.5%, a difference of 0.26%), in labor force | age 30-34 (85.4% compared to 85.0%, a difference of 0.54%), and in labor force | age 25-29 (85.4% compared to 84.8%, a difference of 0.63%).

When considering family structure, the most significant differences between Kenyan and Bhutanese communities in the United States are seen in single mother households (7.0% compared to 5.3%, a difference of 31.9%), births to unmarried women (31.9% compared to 27.9%, a difference of 14.4%), and single father households (2.4% compared to 2.1%, a difference of 12.6%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.25, a difference of 1.1%), family households with children (28.4% compared to 27.3%, a difference of 4.0%), and family households (63.2% compared to 65.9%, a difference of 4.3%).

When considering vehicle availability, the most significant differences between Kenyan and Bhutanese communities in the United States are seen in 4 or more vehicles in household (6.1% compared to 7.8%, a difference of 28.1%), 3 or more vehicles in household (19.1% compared to 22.2%, a difference of 16.5%), and no vehicles in household (9.7% compared to 8.7%, a difference of 11.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 91.4%, a difference of 1.1%), 2 or more vehicles in household (55.5% compared to 59.1%, a difference of 6.4%), and no vehicles in household (9.7% compared to 8.7%, a difference of 11.3%).

When considering education level, the most significant differences between Kenyan and Bhutanese communities in the United States are seen in professional degree (4.4% compared to 5.4%, a difference of 23.4%), doctorate degree (1.9% compared to 2.3%, a difference of 19.1%), and no schooling completed (2.0% compared to 1.8%, a difference of 13.6%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.2%, a difference of 0.27%), kindergarten (98.0% compared to 98.2%, a difference of 0.27%), and 1st grade (97.9% compared to 98.2%, a difference of 0.27%).

When considering disability, the most significant differences between Kenyan and Bhutanese communities in the United States are seen in disability age 5 to 17 (5.8% compared to 4.9%, a difference of 17.6%), disability age 35 to 64 (11.4% compared to 9.8%, a difference of 15.6%), and hearing disability (2.8% compared to 3.2%, a difference of 12.9%). Conversely, both communities are more comparable in terms of disability age over 75 (47.2% compared to 47.1%, a difference of 0.35%), ambulatory disability (5.8% compared to 5.8%, a difference of 0.37%), and male disability (11.0% compared to 11.0%, a difference of 0.48%).