Swiss vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 407,304,273 people shows a weak negative correlation between the proportion of Burmese within Swiss communities in the United States with a correlation coefficient (R) of -0.233. On average, for every 1% (one percent) increase in Swiss within a typical geography, there is a decrease of 0.009% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Swiss corresponds to a decrease of 8.6 Burmese.

When considering income, the most significant differences between Swiss and Burmese communities in the United States are seen in median household income ($85,681 compared to $103,145, a difference of 20.4%), householder income ages 25 - 44 years ($95,511 compared to $113,701, a difference of 19.1%), and median female earnings ($37,904 compared to $44,911, a difference of 18.5%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,493 compared to $54,800, a difference of 6.4%), wage/income gap (30.0% compared to 28.0%, a difference of 7.0%), and householder income over 65 years ($61,621 compared to $71,139, a difference of 15.4%).

When considering poverty, the most significant differences between Swiss and Burmese communities in the United States are seen in child poverty under the age of 5 (16.1% compared to 13.2%, a difference of 22.0%), female poverty among 25-34 year olds (13.4% compared to 11.2%, a difference of 19.9%), and single male poverty (13.8% compared to 11.7%, a difference of 17.5%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.3% compared to 4.3%, a difference of 0.79%), poverty (11.2% compared to 10.7%, a difference of 5.0%), and male poverty (10.2% compared to 9.7%, a difference of 5.1%).

When considering unemployment, the most significant differences between Swiss and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.9% compared to 6.5%, a difference of 21.8%), unemployment among seniors over 75 years (9.5% compared to 8.2%, a difference of 16.6%), and unemployment among women with children ages 6 to 17 years (9.0% compared to 8.0%, a difference of 13.5%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.36%), unemployment among ages 55 to 59 years (4.5% compared to 4.5%, a difference of 0.62%), and unemployment among ages 35 to 44 years (4.4% compared to 4.3%, a difference of 0.88%).

When considering labor participation, the most significant differences between Swiss and Burmese communities in the United States are seen in in labor force | age 16-19 (43.3% compared to 34.5%, a difference of 25.4%), in labor force | age 20-24 (77.7% compared to 73.6%, a difference of 5.6%), and in labor force | age > 16 (64.4% compared to 66.2%, a difference of 2.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 85.1%, a difference of 0.47%), in labor force | age 35-44 (84.2% compared to 84.7%, a difference of 0.64%), and in labor force | age 45-54 (82.8% compared to 83.6%, a difference of 0.98%).

When considering family structure, the most significant differences between Swiss and Burmese communities in the United States are seen in births to unmarried women (30.5% compared to 26.4%, a difference of 15.6%), single father households (2.3% compared to 2.0%, a difference of 12.9%), and divorced or separated (12.0% compared to 10.7%, a difference of 12.0%). Conversely, both communities are more comparable in terms of married-couple households (49.9% compared to 49.8%, a difference of 0.30%), family households (65.2% compared to 65.7%, a difference of 0.81%), and currently married (49.7% compared to 48.9%, a difference of 1.6%).

When considering vehicle availability, the most significant differences between Swiss and Burmese communities in the United States are seen in no vehicles in household (7.9% compared to 9.7%, a difference of 23.2%), 4 or more vehicles in household (7.8% compared to 6.8%, a difference of 13.7%), and 3 or more vehicles in household (23.0% compared to 20.6%, a difference of 11.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.3% compared to 90.4%, a difference of 2.1%), 2 or more vehicles in household (61.0% compared to 57.8%, a difference of 5.5%), and 3 or more vehicles in household (23.0% compared to 20.6%, a difference of 11.4%).

When considering education level, the most significant differences between Swiss and Burmese communities in the United States are seen in professional degree (4.5% compared to 6.1%, a difference of 37.2%), doctorate degree (2.0% compared to 2.6%, a difference of 33.6%), and master's degree (14.7% compared to 19.7%, a difference of 33.6%). Conversely, both communities are more comparable in terms of 11th grade (93.6% compared to 93.6%, a difference of 0.060%), 10th grade (94.7% compared to 94.5%, a difference of 0.26%), and high school diploma (90.6% compared to 90.8%, a difference of 0.28%).

When considering disability, the most significant differences between Swiss and Burmese communities in the United States are seen in disability age under 5 (1.6% compared to 1.1%, a difference of 45.4%), hearing disability (3.5% compared to 2.8%, a difference of 26.6%), and disability age 35 to 64 (11.6% compared to 9.2%, a difference of 26.0%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.7%, a difference of 0.11%), disability age over 75 (46.2% compared to 45.9%, a difference of 0.58%), and self-care disability (2.4% compared to 2.3%, a difference of 4.8%).