Immigrants from South Eastern Asia vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 447,018,622 people shows a slight positive correlation between the proportion of Burmese within Immigrant from South Eastern Asia communities in the United States with a correlation coefficient (R) of 0.091. On average, for every 1% (one percent) increase in Immigrants from South Eastern Asia within a typical geography, there is an increase of 0.008% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South Eastern Asia corresponds to an increase of 8.4 Burmese.

When considering income, the most significant differences between Immigrants from South Eastern Asia and Burmese communities in the United States are seen in per capita income ($43,539 compared to $52,005, a difference of 19.5%), median male earnings ($55,241 compared to $65,236, a difference of 18.1%), and median family income ($106,252 compared to $123,369, a difference of 16.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($55,714 compared to $54,800, a difference of 1.7%), median female earnings ($40,558 compared to $44,911, a difference of 10.7%), and householder income over 65 years ($64,089 compared to $71,139, a difference of 11.0%).

When considering poverty, the most significant differences between Immigrants from South Eastern Asia and Burmese communities in the United States are seen in receiving food stamps (11.1% compared to 8.6%, a difference of 28.1%), child poverty under the age of 16 (15.2% compared to 12.8%, a difference of 18.6%), and child poverty under the age of 5 (15.7% compared to 13.2%, a difference of 18.5%). Conversely, both communities are more comparable in terms of single male poverty (11.4% compared to 11.7%, a difference of 2.5%), single mother poverty (27.1% compared to 26.2%, a difference of 3.3%), and seniors poverty over the age of 75 (12.2% compared to 11.7%, a difference of 4.8%).

When considering unemployment, the most significant differences between Immigrants from South Eastern Asia and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 6.5%, a difference of 10.8%), unemployment among ages 35 to 44 years (4.7% compared to 4.3%, a difference of 9.3%), and male unemployment (5.4% compared to 4.9%, a difference of 9.3%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.1% compared to 10.2%, a difference of 0.12%), unemployment among ages 16 to 19 years (17.1% compared to 17.0%, a difference of 0.81%), and unemployment among ages 65 to 74 years (5.3% compared to 5.2%, a difference of 1.2%).

When considering labor participation, the most significant differences between Immigrants from South Eastern Asia and Burmese communities in the United States are seen in in labor force | age 16-19 (35.6% compared to 34.5%, a difference of 3.2%), in labor force | age 20-24 (75.1% compared to 73.6%, a difference of 2.1%), and in labor force | age 45-54 (82.8% compared to 83.6%, a difference of 0.97%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.9% compared to 66.2%, a difference of 0.46%), in labor force | age 35-44 (84.2% compared to 84.7%, a difference of 0.59%), and in labor force | age 20-64 (79.8% compared to 80.3%, a difference of 0.61%).

When considering family structure, the most significant differences between Immigrants from South Eastern Asia and Burmese communities in the United States are seen in single mother households (6.3% compared to 5.3%, a difference of 19.1%), single father households (2.4% compared to 2.0%, a difference of 18.5%), and births to unmarried women (30.4% compared to 26.4%, a difference of 15.2%). Conversely, both communities are more comparable in terms of family households with children (29.1% compared to 28.5%, a difference of 2.1%), family households (67.5% compared to 65.7%, a difference of 2.6%), and married-couple households (48.4% compared to 49.8%, a difference of 2.9%).

When considering vehicle availability, the most significant differences between Immigrants from South Eastern Asia and Burmese communities in the United States are seen in 4 or more vehicles in household (8.2% compared to 6.8%, a difference of 20.5%), no vehicles in household (8.6% compared to 9.7%, a difference of 12.5%), and 3 or more vehicles in household (23.1% compared to 20.6%, a difference of 11.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 90.4%, a difference of 1.1%), 2 or more vehicles in household (59.6% compared to 57.8%, a difference of 3.1%), and 3 or more vehicles in household (23.1% compared to 20.6%, a difference of 11.8%).

When considering education level, the most significant differences between Immigrants from South Eastern Asia and Burmese communities in the United States are seen in doctorate degree (1.7% compared to 2.6%, a difference of 53.2%), professional degree (4.0% compared to 6.1%, a difference of 52.3%), and no schooling completed (2.9% compared to 1.9%, a difference of 48.6%). Conversely, both communities are more comparable in terms of nursery school (97.1% compared to 98.1%, a difference of 0.98%), kindergarten (97.1% compared to 98.1%, a difference of 0.99%), and 1st grade (97.1% compared to 98.0%, a difference of 1.0%).

When considering disability, the most significant differences between Immigrants from South Eastern Asia and Burmese communities in the United States are seen in disability age 35 to 64 (10.6% compared to 9.2%, a difference of 14.7%), vision disability (2.1% compared to 1.8%, a difference of 13.7%), and disability age 65 to 74 (23.3% compared to 20.6%, a difference of 13.2%). Conversely, both communities are more comparable in terms of cognitive disability (17.0% compared to 16.7%, a difference of 2.2%), disability age under 5 (1.1% compared to 1.1%, a difference of 2.2%), and disability age 18 to 34 (6.3% compared to 6.0%, a difference of 4.7%).