Nonimmigrants vs Immigrants from Burma/Myanmar Community Comparison

The statistical analysis conducted on geographies consisting of 172,362,221 people shows a mild negative correlation between the proportion of Immigrants from Burma/Myanmar within Nonimmigrant communities in the United States with a correlation coefficient (R) of -0.333. On average, for every 1% (one percent) increase in Nonimmigrants within a typical geography, there is a decrease of 0.004% in Immigrants from Burma/Myanmar. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Nonimmigrants corresponds to a decrease of 3.8 Immigrants from Burma/Myanmar.

When considering income, the most significant differences between Nonimmigrants and Immigrants from Burma/Myanmar communities in the United States are seen in wage/income gap (27.2% compared to 22.8%, a difference of 19.0%), median male earnings ($52,170 compared to $50,298, a difference of 3.7%), and householder income ages 45 - 64 years ($94,448 compared to $91,385, a difference of 3.4%). Conversely, both communities are more comparable in terms of median earnings ($44,117 compared to $43,998, a difference of 0.27%), householder income over 65 years ($57,426 compared to $57,114, a difference of 0.55%), and median household income ($79,429 compared to $78,682, a difference of 0.95%).

When considering poverty, the most significant differences between Nonimmigrants and Immigrants from Burma/Myanmar communities in the United States are seen in single father poverty (18.8% compared to 16.5%, a difference of 14.5%), married-couple family poverty (5.3% compared to 6.0%, a difference of 13.5%), and single male poverty (14.6% compared to 13.1%, a difference of 11.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (21.5% compared to 21.6%, a difference of 0.30%), seniors poverty over the age of 75 (12.2% compared to 12.1%, a difference of 1.3%), and female poverty among 25-34 year olds (15.6% compared to 15.2%, a difference of 3.0%).

When considering unemployment, the most significant differences between Nonimmigrants and Immigrants from Burma/Myanmar communities in the United States are seen in unemployment among women with children ages 6 to 17 years (10.0% compared to 7.5%, a difference of 33.2%), unemployment among seniors over 75 years (9.8% compared to 7.7%, a difference of 27.3%), and unemployment among women with children under 6 years (8.8% compared to 7.3%, a difference of 20.6%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.5% compared to 4.4%, a difference of 2.9%), unemployment (5.3% compared to 5.1%, a difference of 3.0%), and female unemployment (5.3% compared to 5.1%, a difference of 4.3%).

When considering labor participation, the most significant differences between Nonimmigrants and Immigrants from Burma/Myanmar communities in the United States are seen in in labor force | age > 16 (63.5% compared to 66.3%, a difference of 4.4%), in labor force | age 16-19 (40.1% compared to 39.0%, a difference of 2.7%), and in labor force | age 20-64 (78.1% compared to 79.7%, a difference of 2.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.2% compared to 76.3%, a difference of 0.18%), in labor force | age 35-44 (83.2% compared to 84.0%, a difference of 0.93%), and in labor force | age 45-54 (81.2% compared to 82.0%, a difference of 1.0%).

When considering family structure, the most significant differences between Nonimmigrants and Immigrants from Burma/Myanmar communities in the United States are seen in births to unmarried women (35.5% compared to 32.9%, a difference of 8.1%), married-couple households (46.9% compared to 43.4%, a difference of 8.0%), and currently married (46.9% compared to 44.3%, a difference of 5.9%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.4%, a difference of 0.92%), family households with children (27.5% compared to 28.0%, a difference of 1.8%), and average family size (3.19 compared to 3.29, a difference of 3.2%).

When considering vehicle availability, the most significant differences between Nonimmigrants and Immigrants from Burma/Myanmar communities in the United States are seen in no vehicles in household (7.9% compared to 10.4%, a difference of 31.9%), 3 or more vehicles in household (21.8% compared to 18.8%, a difference of 15.7%), and 4 or more vehicles in household (7.2% compared to 6.2%, a difference of 15.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (92.2% compared to 89.7%, a difference of 2.9%), 2 or more vehicles in household (58.8% compared to 53.9%, a difference of 8.9%), and 4 or more vehicles in household (7.2% compared to 6.2%, a difference of 15.7%).

When considering education level, the most significant differences between Nonimmigrants and Immigrants from Burma/Myanmar communities in the United States are seen in no schooling completed (1.8% compared to 3.1%, a difference of 75.0%), bachelor's degree (34.2% compared to 35.5%, a difference of 3.9%), and high school diploma (89.2% compared to 86.7%, a difference of 2.9%). Conversely, both communities are more comparable in terms of college, 1 year or more (56.5% compared to 56.6%, a difference of 0.15%), college, under 1 year (62.9% compared to 62.5%, a difference of 0.70%), and professional degree (3.9% compared to 3.9%, a difference of 1.3%).

When considering disability, the most significant differences between Nonimmigrants and Immigrants from Burma/Myanmar communities in the United States are seen in disability age under 5 (1.6% compared to 1.1%, a difference of 42.4%), hearing disability (3.6% compared to 2.9%, a difference of 21.9%), and male disability (12.9% compared to 11.2%, a difference of 15.4%). Conversely, both communities are more comparable in terms of disability age over 75 (48.0% compared to 47.9%, a difference of 0.36%), disability age 65 to 74 (25.0% compared to 24.0%, a difference of 4.1%), and cognitive disability (17.4% compared to 18.2%, a difference of 4.8%).