Immigrants from Burma/Myanmar vs Eastern European Community Comparison

The statistical analysis conducted on geographies consisting of 162,693,725 people shows no correlation between the proportion of Eastern Europeans 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 a decrease of 0.007% in Eastern Europeans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Burma/Myanmar corresponds to a decrease of 7.2 Eastern Europeans.

When considering income, the most significant differences between Immigrants from Burma/Myanmar and Eastern European communities in the United States are seen in per capita income ($39,827 compared to $55,780, a difference of 40.1%), median family income ($94,472 compared to $125,546, a difference of 32.9%), and median male earnings ($50,298 compared to $66,472, a difference of 32.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($48,749 compared to $54,066, a difference of 10.9%), median female earnings ($38,028 compared to $45,385, a difference of 19.4%), and householder income over 65 years ($57,114 compared to $70,470, a difference of 23.4%).

When considering poverty, the most significant differences between Immigrants from Burma/Myanmar and Eastern European communities in the United States are seen in child poverty under the age of 16 (19.4% compared to 13.2%, a difference of 46.9%), married-couple family poverty (6.0% compared to 4.1%, a difference of 46.7%), and family poverty (10.5% compared to 7.2%, a difference of 45.4%). Conversely, both communities are more comparable in terms of single father poverty (16.5% compared to 16.6%, a difference of 0.98%), single male poverty (13.1% compared to 12.7%, a difference of 3.3%), and seniors poverty over the age of 75 (12.1% compared to 11.3%, a difference of 7.1%).

When considering unemployment, the most significant differences between Immigrants from Burma/Myanmar and Eastern European communities in the United States are seen in unemployment among ages 20 to 24 years (9.1% compared to 10.6%, a difference of 16.2%), unemployment among seniors over 75 years (7.7% compared to 8.9%, a difference of 14.8%), and unemployment among women with children ages 6 to 17 years (7.5% compared to 8.6%, a difference of 14.8%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.4% compared to 4.3%, a difference of 0.95%), unemployment among women with children under 6 years (7.3% compared to 7.2%, a difference of 1.8%), and male unemployment (5.2% compared to 5.0%, a difference of 4.0%).

When considering labor participation, the most significant differences between Immigrants from Burma/Myanmar and Eastern European communities in the United States are seen in in labor force | age 16-19 (39.0% compared to 36.4%, a difference of 7.4%), in labor force | age 20-24 (76.3% compared to 74.8%, a difference of 2.1%), and in labor force | age > 16 (66.3% compared to 65.1%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.7% compared to 80.2%, a difference of 0.71%), in labor force | age 25-29 (84.7% compared to 85.5%, a difference of 0.96%), and in labor force | age 30-34 (84.7% compared to 85.7%, a difference of 1.2%).

When considering family structure, the most significant differences between Immigrants from Burma/Myanmar and Eastern European communities in the United States are seen in single mother households (7.0% compared to 5.2%, a difference of 35.8%), single father households (2.4% compared to 2.0%, a difference of 23.8%), and births to unmarried women (32.9% compared to 27.7%, a difference of 18.5%). Conversely, both communities are more comparable in terms of family households (62.6% compared to 63.4%, a difference of 1.3%), family households with children (28.0% compared to 26.7%, a difference of 5.0%), and average family size (3.29 compared to 3.12, a difference of 5.5%).

When considering vehicle availability, the most significant differences between Immigrants from Burma/Myanmar and Eastern European communities in the United States are seen in no vehicles in household (10.4% compared to 11.7%, a difference of 12.0%), 4 or more vehicles in household (6.2% compared to 5.9%, a difference of 5.7%), and 2 or more vehicles in household (53.9% compared to 54.8%, a difference of 1.6%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (18.8% compared to 18.7%, a difference of 0.56%), 1 or more vehicles in household (89.7% compared to 88.5%, a difference of 1.3%), and 2 or more vehicles in household (53.9% compared to 54.8%, a difference of 1.6%).

When considering education level, the most significant differences between Immigrants from Burma/Myanmar and Eastern European communities in the United States are seen in no schooling completed (3.1% compared to 1.6%, a difference of 102.0%), professional degree (3.9% compared to 7.1%, a difference of 79.7%), and doctorate degree (1.7% compared to 2.8%, a difference of 64.6%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 98.5%, a difference of 1.7%), kindergarten (96.8% compared to 98.5%, a difference of 1.7%), and 1st grade (96.8% compared to 98.5%, a difference of 1.7%).

When considering disability, the most significant differences between Immigrants from Burma/Myanmar and Eastern European communities in the United States are seen in disability age 35 to 64 (12.3% compared to 10.0%, a difference of 23.2%), disability age under 5 (1.1% compared to 1.4%, a difference of 21.4%), and disability age 65 to 74 (24.0% compared to 20.6%, a difference of 16.6%). Conversely, both communities are more comparable in terms of male disability (11.2% compared to 10.9%, a difference of 3.2%), disability age 18 to 34 (6.8% compared to 6.5%, a difference of 4.5%), and disability (11.8% compared to 11.2%, a difference of 5.4%).