Immigrants from Eastern Africa vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 333,429,993 people shows a mild negative correlation between the proportion of Burmese within Immigrant from Eastern Africa communities in the United States with a correlation coefficient (R) of -0.308. On average, for every 1% (one percent) increase in Immigrants from Eastern Africa within a typical geography, there is a decrease of 0.025% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Eastern Africa corresponds to a decrease of 25.0 Burmese.

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

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

When considering unemployment, the most significant differences between Immigrants from Eastern Africa and Burmese communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.9% compared to 8.0%, a difference of 11.3%), unemployment among women with children under 6 years (7.2% compared to 6.5%, a difference of 10.7%), and unemployment among women with children under 18 years (5.4% compared to 4.9%, a difference of 9.9%). Conversely, both communities are more comparable in terms of female unemployment (5.1% compared to 5.0%, a difference of 0.82%), unemployment among ages 16 to 19 years (16.8% compared to 17.0%, 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 Immigrants from Eastern Africa and Burmese communities in the United States are seen in in labor force | age 16-19 (40.4% compared to 34.5%, a difference of 17.0%), in labor force | age 20-24 (77.5% compared to 73.6%, a difference of 5.3%), and in labor force | age > 16 (68.5% compared to 66.2%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.9% compared to 83.6%, a difference of 0.36%), in labor force | age 30-34 (85.9% compared to 85.3%, a difference of 0.78%), and in labor force | age 35-44 (85.4% compared to 84.7%, a difference of 0.85%).

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

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

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

When considering disability, the most significant differences between Immigrants from Eastern Africa and Burmese communities in the United States are seen in disability age 35 to 64 (11.3% compared to 9.2%, a difference of 23.1%), disability age 5 to 17 (5.7% compared to 4.8%, a difference of 18.6%), and disability age 65 to 74 (23.4% compared to 20.6%, 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 (47.2% compared to 45.9%, a difference of 2.7%).