Kenyan vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 163,801,443 people shows a weak negative correlation between the proportion of Burmese within Kenyan communities in the United States with a correlation coefficient (R) of -0.229. On average, for every 1% (one percent) increase in Kenyans within a typical geography, there is a decrease of 0.126% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Kenyans corresponds to a decrease of 126.1 Burmese.

When considering income, the most significant differences between Kenyan and Burmese communities in the United States are seen in householder income ages 25 - 44 years ($91,684 compared to $113,701, a difference of 24.0%), householder income ages 45 - 64 years ($98,970 compared to $121,444, a difference of 22.7%), and median household income ($84,085 compared to $103,145, a difference of 22.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,815 compared to $54,800, a difference of 7.8%), median female earnings ($39,860 compared to $44,911, a difference of 12.7%), and wage/income gap (24.5% compared to 28.0%, a difference of 14.5%).

When considering poverty, the most significant differences between Kenyan and Burmese communities in the United States are seen in receiving food stamps (11.6% compared to 8.6%, a difference of 33.7%), child poverty under the age of 5 (17.5% compared to 13.2%, a difference of 32.4%), and child poverty among girls under 16 (16.8% compared to 13.0%, a difference of 29.2%). Conversely, both communities are more comparable in terms of single father poverty (15.3% compared to 15.5%, a difference of 0.98%), seniors poverty over the age of 75 (11.5% compared to 11.7%, a difference of 1.5%), and seniors poverty over the age of 65 (10.3% compared to 10.1%, a difference of 1.8%).

When considering unemployment, the most significant differences between Kenyan and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.6% compared to 6.5%, a difference of 17.0%), unemployment among seniors over 75 years (9.1% compared to 8.2%, a difference of 11.0%), and unemployment among women with children ages 6 to 17 years (8.8% compared to 8.0%, a difference of 10.4%). Conversely, both communities are more comparable in terms of female unemployment (5.0% compared to 5.0%, a difference of 0.61%), unemployment among youth under 25 years (11.2% compared to 11.3%, a difference of 0.99%), and unemployment among ages 25 to 29 years (6.3% compared to 6.2%, a difference of 1.0%).

When considering labor participation, the most significant differences between Kenyan and Burmese communities in the United States are seen in in labor force | age 16-19 (40.1% compared to 34.5%, a difference of 16.4%), in labor force | age 20-24 (77.0% compared to 73.6%, a difference of 4.6%), and in labor force | age > 16 (67.6% compared to 66.2%, a difference of 2.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.7% compared to 83.6%, a difference of 0.12%), in labor force | age 30-34 (85.4% compared to 85.3%, a difference of 0.20%), and in labor force | age 25-29 (85.4% compared to 85.1%, a difference of 0.27%).

When considering family structure, the most significant differences between Kenyan and Burmese communities in the United States are seen in single mother households (7.0% compared to 5.3%, a difference of 31.7%), births to unmarried women (31.9% compared to 26.4%, a difference of 20.9%), and single father households (2.4% compared to 2.0%, a difference of 17.0%). Conversely, both communities are more comparable in terms of average family size (3.21 compared to 3.22, a difference of 0.060%), family households with children (28.4% compared to 28.5%, a difference of 0.39%), and family households (63.2% compared to 65.7%, a difference of 4.1%).

When considering vehicle availability, the most significant differences between Kenyan and Burmese communities in the United States are seen in 4 or more vehicles in household (6.1% compared to 6.8%, a difference of 12.1%), 3 or more vehicles in household (19.1% compared to 20.6%, a difference of 8.2%), and 2 or more vehicles in household (55.5% compared to 57.8%, a difference of 4.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.4%, a difference of 0.080%), no vehicles in household (9.7% compared to 9.7%, a difference of 0.28%), and 2 or more vehicles in household (55.5% compared to 57.8%, a difference of 4.1%).

When considering education level, the most significant differences between Kenyan and Burmese communities in the United States are seen in professional degree (4.4% compared to 6.1%, a difference of 39.4%), doctorate degree (1.9% compared to 2.6%, a difference of 35.2%), and master's degree (15.3% compared to 19.7%, a difference of 28.5%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.1%, a difference of 0.11%), kindergarten (98.0% compared to 98.1%, a difference of 0.11%), and 1st grade (97.9% compared to 98.0%, a difference of 0.11%).

When considering disability, the most significant differences between Kenyan and Burmese communities in the United States are seen in disability age 35 to 64 (11.4% compared to 9.2%, a difference of 23.4%), disability age 5 to 17 (5.8% compared to 4.8%, a difference of 20.3%), and disability age 65 to 74 (23.7% compared to 20.6%, a difference of 15.1%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.8%, a difference of 1.5%), self-care disability (2.3% compared to 2.3%, a difference of 1.8%), and disability age over 75 (47.2% compared to 45.9%, a difference of 2.9%).