Immigrants from Burma/Myanmar vs Indonesian Community Comparison

The statistical analysis conducted on geographies consisting of 149,526,630 people shows a near-perfect positive correlation between the proportion of Indonesians within Immigrant from Burma/Myanmar communities in the United States with a correlation coefficient (R) of 0.908. On average, for every 1% (one percent) increase in Immigrants from Burma/Myanmar within a typical geography, there is an increase of 1.674% in Indonesians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Burma/Myanmar corresponds to an increase of 1,673.9 Indonesians.

When considering income, the most significant differences between Immigrants from Burma/Myanmar and Indonesian communities in the United States are seen in householder income ages 25 - 44 years ($86,736 compared to $79,543, a difference of 9.0%), median household income ($78,682 compared to $72,856, a difference of 8.0%), and householder income ages 45 - 64 years ($91,385 compared to $84,890, a difference of 7.6%). Conversely, both communities are more comparable in terms of wage/income gap (22.8% compared to 22.7%, a difference of 0.53%), median female earnings ($38,028 compared to $36,140, a difference of 5.2%), and householder income over 65 years ($57,114 compared to $54,176, a difference of 5.4%).

When considering poverty, the most significant differences between Immigrants from Burma/Myanmar and Indonesian communities in the United States are seen in child poverty under the age of 5 (20.4% compared to 22.3%, a difference of 9.3%), child poverty under the age of 16 (19.4% compared to 21.0%, a difference of 8.2%), and child poverty among girls under 16 (19.7% compared to 21.3%, a difference of 8.2%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.1% compared to 12.1%, a difference of 0.020%), seniors poverty over the age of 65 (11.3% compared to 11.5%, a difference of 1.8%), and female poverty among 18-24 year olds (21.6% compared to 22.5%, a difference of 4.2%).

When considering unemployment, the most significant differences between Immigrants from Burma/Myanmar and Indonesian communities in the United States are seen in unemployment among women with children under 6 years (7.3% compared to 7.7%, a difference of 4.9%), unemployment among ages 60 to 64 years (4.4% compared to 4.2%, a difference of 4.3%), and unemployment among ages 65 to 74 years (4.8% compared to 4.7%, a difference of 2.7%). Conversely, both communities are more comparable in terms of unemployment among ages 45 to 54 years (4.4% compared to 4.4%, a difference of 0.15%), unemployment among youth under 25 years (10.6% compared to 10.6%, a difference of 0.36%), and unemployment (5.1% compared to 5.1%, a difference of 0.47%).

When considering labor participation, the most significant differences between Immigrants from Burma/Myanmar and Indonesian communities in the United States are seen in in labor force | age 16-19 (39.0% compared to 40.7%, a difference of 4.3%), in labor force | age 20-24 (76.3% compared to 77.2%, a difference of 1.2%), and in labor force | age 45-54 (82.0% compared to 81.5%, a difference of 0.68%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.3% compared to 66.3%, a difference of 0.0%), in labor force | age 25-29 (84.7% compared to 84.7%, a difference of 0.010%), and in labor force | age 20-64 (79.7% compared to 79.4%, a difference of 0.33%).

When considering family structure, the most significant differences between Immigrants from Burma/Myanmar and Indonesian communities in the United States are seen in births to unmarried women (32.9% compared to 35.0%, a difference of 6.4%), single mother households (7.0% compared to 7.5%, a difference of 6.2%), and single father households (2.4% compared to 2.6%, a difference of 5.9%). Conversely, both communities are more comparable in terms of family households with children (28.0% compared to 28.1%, a difference of 0.38%), average family size (3.29 compared to 3.28, a difference of 0.45%), and family households (62.6% compared to 61.5%, a difference of 1.8%).

When considering vehicle availability, the most significant differences between Immigrants from Burma/Myanmar and Indonesian communities in the United States are seen in 4 or more vehicles in household (6.2% compared to 6.0%, a difference of 4.9%), 3 or more vehicles in household (18.8% compared to 18.3%, a difference of 3.0%), and 2 or more vehicles in household (53.9% compared to 53.4%, a difference of 1.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.7% compared to 89.7%, a difference of 0.080%), no vehicles in household (10.4% compared to 10.3%, a difference of 1.0%), and 2 or more vehicles in household (53.9% compared to 53.4%, a difference of 1.1%).

When considering education level, the most significant differences between Immigrants from Burma/Myanmar and Indonesian communities in the United States are seen in professional degree (3.9% compared to 3.7%, a difference of 7.6%), doctorate degree (1.7% compared to 1.6%, a difference of 7.1%), and master's degree (13.5% compared to 12.6%, a difference of 6.9%). Conversely, both communities are more comparable in terms of 9th grade (93.1% compared to 93.1%, a difference of 0.0%), 2nd grade (96.7% compared to 96.7%, a difference of 0.010%), and 10th grade (91.8% compared to 91.8%, a difference of 0.020%).

When considering disability, the most significant differences between Immigrants from Burma/Myanmar and Indonesian communities in the United States are seen in disability age 35 to 64 (12.3% compared to 13.2%, a difference of 7.8%), disability age 18 to 34 (6.8% compared to 7.2%, a difference of 5.9%), and disability age 5 to 17 (5.6% compared to 5.9%, a difference of 5.3%). Conversely, both communities are more comparable in terms of self-care disability (2.5% compared to 2.5%, a difference of 0.56%), disability age over 75 (47.9% compared to 48.2%, a difference of 0.61%), and hearing disability (2.9% compared to 3.0%, a difference of 2.0%).