Burmese vs Immigrants from North America Community Comparison

The statistical analysis conducted on geographies consisting of 413,259,988 people shows a mild negative correlation between the proportion of Immigrants from North America within Burmese communities in the United States with a correlation coefficient (R) of -0.391. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.008% in Immigrants from North America. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 8.4 Immigrants from North America.

When considering income, the most significant differences between Burmese and Immigrants from North America communities in the United States are seen in median household income ($103,145 compared to $91,860, a difference of 12.3%), householder income ages 45 - 64 years ($121,444 compared to $109,198, a difference of 11.2%), and householder income ages 25 - 44 years ($113,701 compared to $102,407, a difference of 11.0%). Conversely, both communities are more comparable in terms of wage/income gap (28.0% compared to 28.4%, a difference of 1.4%), householder income under 25 years ($54,800 compared to $53,307, a difference of 2.8%), and per capita income ($52,005 compared to $49,302, a difference of 5.5%).

When considering poverty, the most significant differences between Burmese and Immigrants from North America communities in the United States are seen in child poverty under the age of 5 (13.2% compared to 15.9%, a difference of 20.4%), female poverty among 25-34 year olds (11.2% compared to 12.9%, a difference of 15.7%), and child poverty among girls under 16 (13.0% compared to 14.9%, a difference of 14.4%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.1% compared to 9.9%, a difference of 2.2%), female poverty among 18-24 year olds (18.9% compared to 19.5%, a difference of 3.1%), and married-couple family poverty (4.3% compared to 4.5%, a difference of 3.5%).

When considering unemployment, the most significant differences between Burmese and Immigrants from North America communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.6%, a difference of 17.4%), unemployment among women with children ages 6 to 17 years (8.0% compared to 9.2%, a difference of 15.1%), and unemployment among seniors over 75 years (8.2% compared to 9.2%, a difference of 12.3%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.010%), unemployment (4.9% compared to 4.9%, a difference of 0.23%), and unemployment among youth under 25 years (11.3% compared to 11.2%, a difference of 0.84%).

When considering labor participation, the most significant differences between Burmese and Immigrants from North America communities in the United States are seen in in labor force | age 16-19 (34.5% compared to 38.9%, a difference of 12.8%), in labor force | age > 16 (66.2% compared to 63.7%, a difference of 3.9%), and in labor force | age 20-24 (73.6% compared to 75.9%, a difference of 3.1%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (85.1% compared to 84.8%, a difference of 0.40%), in labor force | age 35-44 (84.7% compared to 84.2%, a difference of 0.63%), and in labor force | age 30-34 (85.3% compared to 84.6%, a difference of 0.80%).

When considering family structure, the most significant differences between Burmese and Immigrants from North America communities in the United States are seen in births to unmarried women (26.4% compared to 30.6%, a difference of 15.9%), divorced or separated (10.7% compared to 12.1%, a difference of 12.9%), and family households with children (28.5% compared to 26.6%, a difference of 7.3%). Conversely, both communities are more comparable in terms of currently married (48.9% compared to 48.7%, a difference of 0.43%), family households (65.7% compared to 64.0%, a difference of 2.7%), and married-couple households (49.8% compared to 48.4%, a difference of 2.9%).

When considering vehicle availability, the most significant differences between Burmese and Immigrants from North America communities in the United States are seen in no vehicles in household (9.7% compared to 8.7%, a difference of 10.6%), 4 or more vehicles in household (6.8% compared to 6.5%, a difference of 4.5%), and 3 or more vehicles in household (20.6% compared to 20.2%, a difference of 2.1%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (57.8% compared to 57.5%, a difference of 0.50%), 1 or more vehicles in household (90.4% compared to 91.4%, a difference of 1.1%), and 3 or more vehicles in household (20.6% compared to 20.2%, a difference of 2.1%).

When considering education level, the most significant differences between Burmese and Immigrants from North America communities in the United States are seen in no schooling completed (1.9% compared to 1.6%, a difference of 18.8%), doctorate degree (2.6% compared to 2.2%, a difference of 17.2%), and professional degree (6.1% compared to 5.3%, a difference of 15.2%). Conversely, both communities are more comparable in terms of 12th grade, no diploma (92.6% compared to 92.8%, a difference of 0.18%), high school diploma (90.8% compared to 91.0%, a difference of 0.25%), and nursery school (98.1% compared to 98.4%, a difference of 0.33%).

When considering disability, the most significant differences between Burmese and Immigrants from North America communities in the United States are seen in disability age under 5 (1.1% compared to 1.4%, a difference of 28.6%), hearing disability (2.8% compared to 3.5%, a difference of 23.8%), and disability age 35 to 64 (9.2% compared to 11.0%, a difference of 19.7%). Conversely, both communities are more comparable in terms of disability age over 75 (45.9% compared to 45.7%, a difference of 0.42%), cognitive disability (16.7% compared to 16.5%, a difference of 1.0%), and self-care disability (2.3% compared to 2.4%, a difference of 6.3%).