Sudanese vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 107,794,817 people shows a weak positive correlation between the proportion of Burmese within Sudanese communities in the United States with a correlation coefficient (R) of 0.248. On average, for every 1% (one percent) increase in Sudanese within a typical geography, there is an increase of 0.040% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sudanese corresponds to an increase of 39.9 Burmese.

When considering income, the most significant differences between Sudanese and Burmese communities in the United States are seen in householder income ages 25 - 44 years ($84,401 compared to $113,701, a difference of 34.7%), median household income ($78,529 compared to $103,145, a difference of 31.4%), and householder income ages 45 - 64 years ($93,718 compared to $121,444, a difference of 29.6%). Conversely, both communities are more comparable in terms of householder income under 25 years ($46,982 compared to $54,800, a difference of 16.6%), wage/income gap (24.0% compared to 28.0%, a difference of 16.9%), and median female earnings ($38,215 compared to $44,911, a difference of 17.5%).

When considering poverty, the most significant differences between Sudanese and Burmese communities in the United States are seen in child poverty under the age of 5 (19.3% compared to 13.2%, a difference of 46.2%), child poverty under the age of 16 (18.5% compared to 12.8%, a difference of 44.4%), and child poverty among boys under 16 (18.6% compared to 13.0%, a difference of 43.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.8% compared to 11.7%, a difference of 0.91%), single father poverty (15.9% compared to 15.5%, a difference of 2.6%), and seniors poverty over the age of 65 (10.7% compared to 10.1%, a difference of 6.7%).

When considering unemployment, the most significant differences between Sudanese and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.8% compared to 6.5%, a difference of 20.3%), unemployment among ages 25 to 29 years (5.4% compared to 6.2%, a difference of 15.0%), and unemployment among seniors over 65 years (4.4% compared to 5.0%, a difference of 13.7%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.6% compared to 4.5%, a difference of 1.1%), unemployment among seniors over 75 years (8.3% compared to 8.2%, a difference of 1.2%), and male unemployment (4.8% compared to 4.9%, a difference of 1.6%).

When considering labor participation, the most significant differences between Sudanese and Burmese communities in the United States are seen in in labor force | age 16-19 (42.9% compared to 34.5%, a difference of 24.2%), in labor force | age 20-24 (78.4% compared to 73.6%, a difference of 6.6%), and in labor force | age > 16 (68.0% compared to 66.2%, a difference of 2.8%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.2% compared to 85.3%, a difference of 0.060%), in labor force | age 35-44 (85.0% compared to 84.7%, a difference of 0.36%), and in labor force | age 45-54 (83.0% compared to 83.6%, a difference of 0.70%).

When considering family structure, the most significant differences between Sudanese and Burmese communities in the United States are seen in single mother households (6.9% compared to 5.3%, a difference of 30.6%), births to unmarried women (32.4% compared to 26.4%, a difference of 22.9%), and single father households (2.4% compared to 2.0%, a difference of 19.0%). Conversely, both communities are more comparable in terms of average family size (3.20 compared to 3.22, a difference of 0.49%), family households with children (27.4% compared to 28.5%, a difference of 4.1%), and family households (60.0% compared to 65.7%, a difference of 9.6%).

When considering vehicle availability, the most significant differences between Sudanese and Burmese communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 6.8%, a difference of 21.3%), 3 or more vehicles in household (17.8% compared to 20.6%, a difference of 15.7%), and 2 or more vehicles in household (53.6% compared to 57.8%, a difference of 7.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.3% compared to 90.4%, a difference of 0.13%), no vehicles in household (9.8% compared to 9.7%, a difference of 1.7%), and 2 or more vehicles in household (53.6% compared to 57.8%, a difference of 7.8%).

When considering education level, the most significant differences between Sudanese and Burmese communities in the United States are seen in professional degree (4.6% compared to 6.1%, a difference of 32.4%), master's degree (15.3% compared to 19.7%, a difference of 28.8%), and doctorate degree (2.1% compared to 2.6%, a difference of 26.0%). Conversely, both communities are more comparable in terms of 2nd grade (97.7% compared to 98.0%, a difference of 0.34%), nursery school (97.7% compared to 98.1%, a difference of 0.37%), and kindergarten (97.7% compared to 98.1%, a difference of 0.37%).

When considering disability, the most significant differences between Sudanese and Burmese communities in the United States are seen in disability age 35 to 64 (11.9% compared to 9.2%, a difference of 29.4%), disability age 5 to 17 (5.8% compared to 4.8%, a difference of 22.3%), and disability age 18 to 34 (6.9% compared to 6.0%, a difference of 15.0%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.1%, a difference of 1.1%), self-care disability (2.2% compared to 2.3%, a difference of 3.1%), and disability age over 75 (47.5% compared to 45.9%, a difference of 3.5%).