Burmese vs Immigrants from Eastern Africa Community Comparison

The statistical analysis conducted on geographies consisting of 333,401,205 people shows a mild negative correlation between the proportion of Immigrants from Eastern Africa within Burmese communities in the United States with a correlation coefficient (R) of -0.306. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.007% in Immigrants from Eastern Africa. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 7.1 Immigrants from Eastern Africa.

When considering income, the most significant differences between Burmese and Immigrants from Eastern Africa communities in the United States are seen in householder income ages 25 - 44 years ($113,701 compared to $91,458, a difference of 24.3%), householder income ages 45 - 64 years ($121,444 compared to $98,467, a difference of 23.3%), and wage/income gap (28.0% compared to 22.8%, a difference of 22.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $51,158, a difference of 7.1%), median female earnings ($44,911 compared to $40,644, a difference of 10.5%), and median earnings ($54,559 compared to $46,969, a difference of 16.2%).

When considering poverty, the most significant differences between Burmese and Immigrants from Eastern Africa communities in the United States are seen in child poverty under the age of 16 (12.8% compared to 17.6%, a difference of 37.4%), child poverty under the age of 5 (13.2% compared to 18.1%, a difference of 36.6%), and child poverty among boys under 16 (13.0% compared to 17.7%, a difference of 36.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 12.1%, a difference of 3.4%), single male poverty (11.7% compared to 12.3%, a difference of 4.9%), and single father poverty (15.5% compared to 14.7%, a difference of 5.1%).

When considering unemployment, the most significant differences between Burmese and Immigrants from Eastern Africa communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.0% compared to 8.9%, a difference of 11.3%), unemployment among women with children under 6 years (6.5% compared to 7.2%, a difference of 10.7%), and unemployment among women with children under 18 years (4.9% compared to 5.4%, a difference of 9.9%). Conversely, both communities are more comparable in terms of female unemployment (5.0% compared to 5.1%, a difference of 0.82%), unemployment among ages 16 to 19 years (17.0% compared to 16.8%, a difference of 1.3%), and unemployment among ages 55 to 59 years (4.5% compared to 4.5%, a difference of 1.9%).

When considering labor participation, the most significant differences between Burmese and Immigrants from Eastern Africa communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 40.4%, a difference of 17.0%), in labor force | age 20-24 (73.6% compared to 77.5%, a difference of 5.3%), and in labor force | age > 16 (66.2% compared to 68.5%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.6% compared to 83.9%, a difference of 0.36%), in labor force | age 30-34 (85.3% compared to 85.9%, a difference of 0.78%), and in labor force | age 35-44 (84.7% compared to 85.4%, a difference of 0.85%).

When considering family structure, the most significant differences between Burmese and Immigrants from Eastern Africa communities in the United States are seen in single mother households (5.3% compared to 6.8%, a difference of 29.4%), single father households (2.0% compared to 2.4%, a difference of 19.2%), and births to unmarried women (26.4% compared to 31.0%, a difference of 17.4%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.22, a difference of 0.020%), family households with children (28.5% compared to 27.7%, a difference of 3.0%), and family households (65.7% compared to 61.1%, a difference of 7.5%).

When considering vehicle availability, the most significant differences between Burmese and Immigrants from Eastern Africa communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 5.7%, a difference of 19.1%), 3 or more vehicles in household (20.6% compared to 18.0%, a difference of 14.6%), and 2 or more vehicles in household (57.8% compared to 53.7%, a difference of 7.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 90.1%, a difference of 0.32%), no vehicles in household (9.7% compared to 10.0%, a difference of 3.8%), and 2 or more vehicles in household (57.8% compared to 53.7%, a difference of 7.5%).

When considering education level, the most significant differences between Burmese and Immigrants from Eastern Africa communities in the United States are seen in professional degree (6.1% compared to 4.8%, a difference of 27.7%), doctorate degree (2.6% compared to 2.1%, a difference of 24.9%), and no schooling completed (1.9% compared to 2.4%, a difference of 24.2%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.6%, a difference of 0.47%), kindergarten (98.1% compared to 97.6%, a difference of 0.47%), and 1st grade (98.0% compared to 97.6%, a difference of 0.47%).

When considering disability, the most significant differences between Burmese and Immigrants from Eastern Africa communities in the United States are seen in disability age 35 to 64 (9.2% compared to 11.3%, a difference of 23.1%), disability age 5 to 17 (4.8% compared to 5.7%, a difference of 18.6%), and disability age 65 to 74 (20.6% compared to 23.4%, a difference of 13.6%). Conversely, both communities are more comparable in terms of hearing disability (2.8% compared to 2.8%, a difference of 0.39%), self-care disability (2.3% compared to 2.3%, a difference of 0.66%), and disability age over 75 (45.9% compared to 47.2%, a difference of 2.7%).