Immigrants from Burma/Myanmar vs Nonimmigrants Community Comparison

The statistical analysis conducted on geographies consisting of 172,365,743 people shows no correlation between the proportion of Nonimmigrants within Immigrant from Burma/Myanmar communities in the United States with a correlation coefficient (R) of 0.044. On average, for every 1% (one percent) increase in Immigrants from Burma/Myanmar within a typical geography, there is an increase of 0.095% in Nonimmigrants. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Burma/Myanmar corresponds to an increase of 94.7 Nonimmigrants.

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

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

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

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

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

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

When considering education level, the most significant differences between Immigrants from Burma/Myanmar and Nonimmigrants communities in the United States are seen in no schooling completed (3.1% compared to 1.8%, a difference of 75.0%), bachelor's degree (35.5% compared to 34.2%, a difference of 3.9%), and high school diploma (86.7% compared to 89.2%, a difference of 2.9%). Conversely, both communities are more comparable in terms of college, 1 year or more (56.6% compared to 56.5%, a difference of 0.15%), college, under 1 year (62.5% compared to 62.9%, 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 Immigrants from Burma/Myanmar and Nonimmigrants communities in the United States are seen in disability age under 5 (1.1% compared to 1.6%, a difference of 42.4%), hearing disability (2.9% compared to 3.6%, a difference of 21.9%), and male disability (11.2% compared to 12.9%, a difference of 15.4%). Conversely, both communities are more comparable in terms of disability age over 75 (47.9% compared to 48.0%, a difference of 0.36%), disability age 65 to 74 (24.0% compared to 25.0%, a difference of 4.1%), and cognitive disability (18.2% compared to 17.4%, a difference of 4.8%).