Immigrants from Western Europe vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 433,959,663 people shows a mild positive correlation between the proportion of Burmese within Immigrant from Western Europe communities in the United States with a correlation coefficient (R) of 0.308. On average, for every 1% (one percent) increase in Immigrants from Western Europe within a typical geography, there is an increase of 0.072% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Western Europe corresponds to an increase of 71.6 Burmese.

When considering income, the most significant differences between Immigrants from Western Europe and Burmese communities in the United States are seen in median household income ($91,936 compared to $103,145, a difference of 12.2%), householder income ages 45 - 64 years ($108,824 compared to $121,444, a difference of 11.6%), and householder income ages 25 - 44 years ($102,654 compared to $113,701, a difference of 10.8%). Conversely, both communities are more comparable in terms of wage/income gap (27.8% compared to 28.0%, a difference of 0.93%), householder income under 25 years ($52,957 compared to $54,800, a difference of 3.5%), and per capita income ($50,065 compared to $52,005, a difference of 3.9%).

When considering poverty, the most significant differences between Immigrants from Western Europe and Burmese communities in the United States are seen in child poverty under the age of 5 (16.5% compared to 13.2%, a difference of 24.8%), receiving food stamps (10.3% compared to 8.6%, a difference of 19.4%), and female poverty among 25-34 year olds (13.3% compared to 11.2%, a difference of 18.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.9% compared to 11.7%, a difference of 1.5%), seniors poverty over the age of 65 (10.4% compared to 10.1%, a difference of 2.9%), and married-couple family poverty (4.6% compared to 4.3%, a difference of 7.4%).

When considering unemployment, the most significant differences between Immigrants from Western Europe and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.7% compared to 6.5%, a difference of 18.4%), unemployment among women with children ages 6 to 17 years (9.1% compared to 8.0%, a difference of 14.9%), and unemployment among seniors over 75 years (8.9% compared to 8.2%, a difference of 9.1%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.8%, a difference of 1.4%), unemployment among youth under 25 years (11.5% compared to 11.3%, a difference of 1.7%), and female unemployment (5.1% compared to 5.0%, a difference of 1.7%).

When considering labor participation, the most significant differences between Immigrants from Western Europe and Burmese communities in the United States are seen in in labor force | age 16-19 (37.5% compared to 34.5%, a difference of 8.8%), in labor force | age > 16 (64.2% compared to 66.2%, a difference of 3.1%), and in labor force | age 20-24 (75.3% compared to 73.6%, a difference of 2.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.2% compared to 84.7%, a difference of 0.57%), in labor force | age 25-29 (84.7% compared to 85.1%, a difference of 0.58%), and in labor force | age 30-34 (84.7% compared to 85.3%, a difference of 0.63%).

When considering family structure, the most significant differences between Immigrants from Western Europe and Burmese communities in the United States are seen in births to unmarried women (31.1% compared to 26.4%, a difference of 17.8%), divorced or separated (12.1% compared to 10.7%, a difference of 12.7%), and single mother households (5.8% compared to 5.3%, a difference of 9.2%). Conversely, both communities are more comparable in terms of average family size (3.14 compared to 3.22, a difference of 2.5%), currently married (47.6% compared to 48.9%, a difference of 2.8%), and family households (63.2% compared to 65.7%, a difference of 4.0%).

When considering vehicle availability, the most significant differences between Immigrants from Western Europe and Burmese communities in the United States are seen in no vehicles in household (10.9% compared to 9.7%, a difference of 12.8%), 4 or more vehicles in household (6.3% compared to 6.8%, a difference of 8.0%), and 3 or more vehicles in household (19.5% compared to 20.6%, a difference of 5.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.2% compared to 90.4%, a difference of 1.3%), 2 or more vehicles in household (55.4% compared to 57.8%, a difference of 4.4%), and 3 or more vehicles in household (19.5% compared to 20.6%, a difference of 5.6%).

When considering education level, the most significant differences between Immigrants from Western Europe and Burmese communities in the United States are seen in bachelor's degree (42.0% compared to 46.9%, a difference of 11.5%), no schooling completed (1.8% compared to 1.9%, a difference of 11.0%), and master's degree (17.8% compared to 19.7%, a difference of 10.5%). Conversely, both communities are more comparable in terms of 11th grade (93.6% compared to 93.6%, a difference of 0.0%), nursery school (98.3% compared to 98.1%, a difference of 0.22%), and kindergarten (98.3% compared to 98.1%, a difference of 0.22%).

When considering disability, the most significant differences between Immigrants from Western Europe and Burmese communities in the United States are seen in disability age under 5 (1.4% compared to 1.1%, a difference of 23.6%), disability age 35 to 64 (11.1% compared to 9.2%, a difference of 20.8%), and hearing disability (3.3% compared to 2.8%, a difference of 18.7%). Conversely, both communities are more comparable in terms of disability age over 75 (46.2% compared to 45.9%, a difference of 0.54%), cognitive disability (16.9% compared to 16.7%, a difference of 1.5%), and self-care disability (2.4% compared to 2.3%, a difference of 8.2%).