Asian vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 463,311,402 people shows a moderate positive correlation between the proportion of Burmese within Asian communities in the United States with a correlation coefficient (R) of 0.410. On average, for every 1% (one percent) increase in Asians within a typical geography, there is an increase of 0.052% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to an increase of 52.2 Burmese.

When considering income, the most significant differences between Asian and Burmese communities in the United States are seen in householder income under 25 years ($57,003 compared to $54,800, a difference of 4.0%), wage/income gap (26.9% compared to 28.0%, a difference of 4.0%), and per capita income ($50,057 compared to $52,005, a difference of 3.9%). Conversely, both communities are more comparable in terms of median female earnings ($44,586 compared to $44,911, a difference of 0.73%), householder income ages 25 - 44 years ($112,666 compared to $113,701, a difference of 0.92%), and median household income ($101,681 compared to $103,145, a difference of 1.4%).

When considering poverty, the most significant differences between Asian and Burmese communities in the United States are seen in receiving food stamps (9.7% compared to 8.6%, a difference of 11.9%), married-couple family poverty (4.7% compared to 4.3%, a difference of 7.9%), and single father poverty (14.6% compared to 15.5%, a difference of 6.2%). Conversely, both communities are more comparable in terms of single female poverty (18.3% compared to 18.3%, a difference of 0.0%), single mother poverty (26.0% compared to 26.2%, a difference of 1.1%), and female poverty among 25-34 year olds (11.4% compared to 11.2%, a difference of 2.1%).

When considering unemployment, the most significant differences between Asian and Burmese communities in the United States are seen in unemployment among ages 55 to 59 years (4.7% compared to 4.5%, a difference of 3.7%), male unemployment (5.1% compared to 4.9%, a difference of 3.6%), and unemployment (5.1% compared to 4.9%, a difference of 3.2%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.0% compared to 8.0%, a difference of 0.030%), unemployment among ages 20 to 24 years (10.2% compared to 10.2%, a difference of 0.27%), and unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.44%).

When considering labor participation, the most significant differences between Asian and Burmese communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 34.5%, a difference of 1.3%), in labor force | age 25-29 (84.8% compared to 85.1%, a difference of 0.35%), and in labor force | age 30-34 (85.1% compared to 85.3%, a difference of 0.21%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.2% compared to 66.2%, a difference of 0.020%), in labor force | age 35-44 (84.7% compared to 84.7%, a difference of 0.020%), and in labor force | age 20-24 (73.7% compared to 73.6%, a difference of 0.10%).

When considering family structure, the most significant differences between Asian and Burmese communities in the United States are seen in single mother households (5.6% compared to 5.3%, a difference of 5.7%), single father households (2.1% compared to 2.0%, a difference of 3.3%), and average family size (3.28 compared to 3.22, a difference of 2.0%). Conversely, both communities are more comparable in terms of married-couple households (49.5% compared to 49.8%, a difference of 0.67%), divorced or separated (10.6% compared to 10.7%, a difference of 0.74%), and currently married (48.4% compared to 48.9%, a difference of 1.1%).

When considering vehicle availability, the most significant differences between Asian and Burmese communities in the United States are seen in no vehicles in household (9.0% compared to 9.7%, a difference of 7.8%), 4 or more vehicles in household (7.0% compared to 6.8%, a difference of 2.8%), and 2 or more vehicles in household (57.0% compared to 57.8%, a difference of 1.4%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (20.8% compared to 20.6%, a difference of 0.51%), 1 or more vehicles in household (91.1% compared to 90.4%, a difference of 0.73%), and 2 or more vehicles in household (57.0% compared to 57.8%, a difference of 1.4%).

When considering education level, the most significant differences between Asian and Burmese communities in the United States are seen in no schooling completed (2.4% compared to 1.9%, a difference of 23.1%), professional degree (5.5% compared to 6.1%, a difference of 11.5%), and doctorate degree (2.4% compared to 2.6%, a difference of 8.5%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.1%, a difference of 0.45%), kindergarten (97.6% compared to 98.1%, a difference of 0.46%), and 1st grade (97.6% compared to 98.0%, a difference of 0.46%).

When considering disability, the most significant differences between Asian and Burmese communities in the United States are seen in disability age 65 to 74 (21.4% compared to 20.6%, a difference of 3.6%), disability age under 5 (1.1% compared to 1.1%, a difference of 3.5%), and self-care disability (2.3% compared to 2.3%, a difference of 2.9%). Conversely, both communities are more comparable in terms of male disability (10.0% compared to 10.0%, a difference of 0.11%), cognitive disability (16.7% compared to 16.7%, a difference of 0.50%), and disability age 5 to 17 (4.8% compared to 4.8%, a difference of 0.56%).