Burmese vs Immigrants from Western Asia Community Comparison

The statistical analysis conducted on geographies consisting of 376,359,042 people shows a poor positive correlation between the proportion of Immigrants from Western Asia within Burmese communities in the United States with a correlation coefficient (R) of 0.146. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is an increase of 0.013% in Immigrants from Western Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to an increase of 13.4 Immigrants from Western Asia.

When considering income, the most significant differences between Burmese and Immigrants from Western Asia communities in the United States are seen in median household income ($103,145 compared to $90,005, a difference of 14.6%), householder income ages 45 - 64 years ($121,444 compared to $106,217, a difference of 14.3%), and householder income ages 25 - 44 years ($113,701 compared to $99,516, a difference of 14.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $52,190, a difference of 5.0%), wage/income gap (28.0% compared to 26.3%, a difference of 6.5%), and median female earnings ($44,911 compared to $41,375, a difference of 8.6%).

When considering poverty, the most significant differences between Burmese and Immigrants from Western Asia communities in the United States are seen in married-couple family poverty (4.3% compared to 6.0%, a difference of 38.0%), receiving food stamps (8.6% compared to 11.6%, a difference of 34.5%), and child poverty under the age of 5 (13.2% compared to 17.1%, a difference of 29.0%). Conversely, both communities are more comparable in terms of single father poverty (15.5% compared to 16.0%, a difference of 3.7%), single male poverty (11.7% compared to 12.5%, a difference of 6.8%), and female poverty among 18-24 year olds (18.9% compared to 20.3%, a difference of 7.5%).

When considering unemployment, the most significant differences between Burmese and Immigrants from Western Asia communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.5%, a difference of 16.3%), unemployment among ages 45 to 54 years (4.2% compared to 4.8%, a difference of 14.6%), and unemployment among women with children under 18 years (4.9% compared to 5.6%, a difference of 14.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.0% compared to 5.2%, a difference of 3.1%), unemployment among ages 65 to 74 years (5.2% compared to 5.4%, a difference of 4.3%), and unemployment among ages 60 to 64 years (4.8% compared to 5.0%, a difference of 4.5%).

When considering labor participation, the most significant differences between Burmese and Immigrants from Western Asia communities in the United States are seen in in labor force | age > 16 (66.2% compared to 65.3%, a difference of 1.4%), in labor force | age 45-54 (83.6% compared to 82.4%, a difference of 1.4%), and in labor force | age 20-64 (80.3% compared to 79.2%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (73.6% compared to 73.5%, a difference of 0.040%), in labor force | age 16-19 (34.5% compared to 34.8%, a difference of 0.84%), and in labor force | age 30-34 (85.3% compared to 84.3%, a difference of 1.1%).

When considering family structure, the most significant differences between Burmese and Immigrants from Western Asia communities in the United States are seen in single mother households (5.3% compared to 5.7%, a difference of 8.3%), married-couple households (49.8% compared to 46.9%, a difference of 6.1%), and divorced or separated (10.7% compared to 11.2%, a difference of 4.4%). Conversely, both communities are more comparable in terms of average family size (3.22 compared to 3.26, a difference of 1.3%), single father households (2.0% compared to 2.1%, a difference of 1.3%), and family households with children (28.5% compared to 27.9%, a difference of 2.3%).

When considering vehicle availability, the most significant differences between Burmese and Immigrants from Western Asia communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 5.9%, a difference of 15.1%), no vehicles in household (9.7% compared to 11.0%, a difference of 14.2%), and 3 or more vehicles in household (20.6% compared to 18.4%, a difference of 12.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 89.0%, a difference of 1.6%), 2 or more vehicles in household (57.8% compared to 54.1%, a difference of 6.9%), and 3 or more vehicles in household (20.6% compared to 18.4%, a difference of 12.2%).

When considering education level, the most significant differences between Burmese and Immigrants from Western Asia communities in the United States are seen in no schooling completed (1.9% compared to 2.3%, a difference of 20.3%), doctorate degree (2.6% compared to 2.2%, a difference of 17.3%), and professional degree (6.1% compared to 5.4%, a difference of 13.6%). Conversely, both communities are more comparable in terms of nursery school (98.1% compared to 97.7%, a difference of 0.41%), kindergarten (98.1% compared to 97.7%, a difference of 0.41%), and 1st grade (98.0% compared to 97.6%, a difference of 0.41%).

When considering disability, the most significant differences between Burmese and Immigrants from Western Asia communities in the United States are seen in self-care disability (2.3% compared to 2.6%, a difference of 15.7%), disability age 35 to 64 (9.2% compared to 10.4%, a difference of 12.9%), and ambulatory disability (5.3% compared to 5.9%, a difference of 12.3%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (6.0% compared to 6.1%, a difference of 1.5%), disability age under 5 (1.1% compared to 1.1%, a difference of 1.5%), and hearing disability (2.8% compared to 2.9%, a difference of 2.2%).