Slavic vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 252,865,037 people shows a weak positive correlation between the proportion of Burmese within Slavic communities in the United States with a correlation coefficient (R) of 0.214. On average, for every 1% (one percent) increase in Slavs within a typical geography, there is an increase of 0.052% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Slavs corresponds to an increase of 52.1 Burmese.

When considering income, the most significant differences between Slavic and Burmese communities in the United States are seen in median household income ($86,398 compared to $103,145, a difference of 19.4%), householder income ages 45 - 64 years ($102,629 compared to $121,444, a difference of 18.3%), and householder income ages 25 - 44 years ($96,377 compared to $113,701, a difference of 18.0%). Conversely, both communities are more comparable in terms of wage/income gap (27.4% compared to 28.0%, a difference of 2.1%), householder income under 25 years ($50,563 compared to $54,800, a difference of 8.4%), and median female earnings ($39,613 compared to $44,911, a difference of 13.4%).

When considering poverty, the most significant differences between Slavic and Burmese communities in the United States are seen in child poverty under the age of 5 (17.0% compared to 13.2%, a difference of 28.3%), receiving food stamps (10.6% compared to 8.6%, a difference of 22.8%), and child poverty among girls under 16 (15.7% compared to 13.0%, a difference of 20.7%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.4% compared to 4.3%, a difference of 2.9%), seniors poverty over the age of 65 (9.8% compared to 10.1%, a difference of 3.3%), and female poverty among 18-24 year olds (19.7% compared to 18.9%, a difference of 4.1%).

When considering unemployment, the most significant differences between Slavic and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 6.5%, a difference of 19.4%), unemployment among seniors over 75 years (9.2% compared to 8.2%, a difference of 12.0%), and unemployment among women with children ages 6 to 17 years (8.7% compared to 8.0%, a difference of 9.6%). Conversely, both communities are more comparable in terms of unemployment (4.9% compared to 4.9%, a difference of 0.32%), unemployment among seniors over 65 years (5.0% compared to 5.0%, a difference of 0.86%), and unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.87%).

When considering labor participation, the most significant differences between Slavic 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 17.1%), in labor force | age 20-24 (76.9% compared to 73.6%, a difference of 4.5%), and in labor force | age > 16 (64.6% compared to 66.2%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.020%), in labor force | age 25-29 (85.1% compared to 85.1%, a difference of 0.080%), and in labor force | age 30-34 (85.0% compared to 85.3%, a difference of 0.28%).

When considering family structure, the most significant differences between Slavic and Burmese communities in the United States are seen in births to unmarried women (31.6% compared to 26.4%, a difference of 19.9%), divorced or separated (12.2% compared to 10.7%, a difference of 14.1%), and single mother households (5.9% compared to 5.3%, a difference of 11.0%). Conversely, both communities are more comparable in terms of currently married (48.4% compared to 48.9%, a difference of 1.2%), family households (64.0% compared to 65.7%, a difference of 2.8%), and average family size (3.13 compared to 3.22, a difference of 2.8%).

When considering vehicle availability, the most significant differences between Slavic and Burmese communities in the United States are seen in no vehicles in household (9.0% compared to 9.7%, a difference of 8.1%), 4 or more vehicles in household (6.6% compared to 6.8%, a difference of 4.0%), and 3 or more vehicles in household (20.4% compared to 20.6%, a difference of 1.2%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 57.8%, a difference of 0.020%), 1 or more vehicles in household (91.2% compared to 90.4%, a difference of 0.85%), and 3 or more vehicles in household (20.4% compared to 20.6%, a difference of 1.2%).

When considering education level, the most significant differences between Slavic and Burmese communities in the United States are seen in doctorate degree (1.9% compared to 2.6%, a difference of 38.4%), professional degree (4.5% compared to 6.1%, a difference of 35.1%), and master's degree (15.5% compared to 19.7%, a difference of 27.1%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.8% compared to 92.6%, a difference of 0.18%), high school diploma (91.0% compared to 90.8%, a difference of 0.25%), and nursery school (98.4% compared to 98.1%, a difference of 0.34%).

When considering disability, the most significant differences between Slavic and Burmese communities in the United States are seen in disability age 35 to 64 (11.7% compared to 9.2%, a difference of 26.5%), disability age under 5 (1.4% compared to 1.1%, a difference of 25.4%), and disability age 5 to 17 (5.9% compared to 4.8%, a difference of 24.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.7%, a difference of 0.0%), disability age over 75 (46.1% compared to 45.9%, a difference of 0.49%), and self-care disability (2.5% compared to 2.3%, a difference of 10.0%).