Burmese vs Immigrants from Ethiopia Community Comparison

The statistical analysis conducted on geographies consisting of 204,027,252 people shows a poor negative correlation between the proportion of Immigrants from Ethiopia within Burmese communities in the United States with a correlation coefficient (R) of -0.107. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.004% in Immigrants from Ethiopia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 3.9 Immigrants from Ethiopia.

When considering income, the most significant differences between Burmese and Immigrants from Ethiopia communities in the United States are seen in wage/income gap (28.0% compared to 21.6%, a difference of 29.9%), householder income ages 25 - 44 years ($113,701 compared to $95,256, a difference of 19.4%), and householder income ages 45 - 64 years ($121,444 compared to $102,763, a difference of 18.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $53,408, a difference of 2.6%), median female earnings ($44,911 compared to $42,744, a difference of 5.1%), and householder income over 65 years ($71,139 compared to $65,238, a difference of 9.0%).

When considering poverty, the most significant differences between Burmese and Immigrants from Ethiopia communities in the United States are seen in child poverty under the age of 16 (12.8% compared to 16.4%, a difference of 27.7%), child poverty among girls under 16 (13.0% compared to 16.6%, a difference of 27.6%), and child poverty among boys under 16 (13.0% compared to 16.4%, a difference of 26.5%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.7% compared to 11.6%, a difference of 0.73%), single male poverty (11.7% compared to 11.4%, a difference of 2.5%), and single mother poverty (26.2% compared to 27.7%, a difference of 5.7%).

When considering unemployment, the most significant differences between Burmese and Immigrants from Ethiopia communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.0% compared to 8.8%, a difference of 10.0%), unemployment among seniors over 75 years (8.2% compared to 8.8%, a difference of 7.8%), and unemployment among women with children under 18 years (4.9% compared to 5.3%, a difference of 7.1%). Conversely, both communities are more comparable in terms of unemployment among youth under 25 years (11.3% compared to 11.3%, a difference of 0.020%), unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.15%), and unemployment among seniors over 65 years (5.0% compared to 5.0%, a difference of 0.71%).

When considering labor participation, the most significant differences between Burmese and Immigrants from Ethiopia communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 38.6%, a difference of 11.8%), in labor force | age 20-24 (73.6% compared to 77.5%, a difference of 5.4%), and in labor force | age > 16 (66.2% compared to 69.4%, a difference of 4.9%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 86.1%, a difference of 1.2%), in labor force | age 35-44 (84.7% compared to 85.9%, a difference of 1.4%), and in labor force | age 45-54 (83.6% compared to 84.8%, a difference of 1.4%).

When considering family structure, the most significant differences between Burmese and Immigrants from Ethiopia communities in the United States are seen in single mother households (5.3% compared to 6.6%, a difference of 25.1%), single father households (2.0% compared to 2.4%, a difference of 18.9%), and married-couple households (49.8% compared to 43.1%, a difference of 15.7%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.25, a difference of 1.1%), family households with children (28.5% compared to 27.8%, a difference of 2.5%), and family households (65.7% compared to 61.2%, a difference of 7.4%).

When considering vehicle availability, the most significant differences between Burmese and Immigrants from Ethiopia communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 5.7%, a difference of 19.0%), 3 or more vehicles in household (20.6% compared to 17.9%, a difference of 15.4%), and 2 or more vehicles in household (57.8% compared to 53.0%, a difference of 9.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 89.6%, a difference of 0.93%), no vehicles in household (9.7% compared to 10.4%, a difference of 7.8%), and 2 or more vehicles in household (57.8% compared to 53.0%, a difference of 9.0%).

When considering education level, the most significant differences between Burmese and Immigrants from Ethiopia communities in the United States are seen in no schooling completed (1.9% compared to 2.5%, a difference of 25.9%), professional degree (6.1% compared to 5.3%, a difference of 15.0%), and doctorate degree (2.6% compared to 2.4%, a difference of 12.0%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.6%, a difference of 0.54%), kindergarten (98.1% compared to 97.5%, a difference of 0.54%), and 1st grade (98.0% compared to 97.5%, a difference of 0.54%).

When considering disability, the most significant differences between Burmese and Immigrants from Ethiopia communities in the United States are seen in disability age 35 to 64 (9.2% compared to 10.5%, a difference of 13.6%), disability age 5 to 17 (4.8% compared to 5.4%, a difference of 12.8%), and disability age 65 to 74 (20.6% compared to 22.7%, a difference of 10.3%). Conversely, both communities are more comparable in terms of ambulatory disability (5.3% compared to 5.4%, a difference of 1.4%), disability age under 5 (1.1% compared to 1.1%, a difference of 1.5%), and disability age over 75 (45.9% compared to 46.8%, a difference of 1.9%).