Immigrants from Burma/Myanmar vs Latvian Community Comparison

The statistical analysis conducted on geographies consisting of 115,146,117 people shows no correlation between the proportion of Latvians within Immigrant from Burma/Myanmar communities in the United States with a correlation coefficient (R) of 0.017. On average, for every 1% (one percent) increase in Immigrants from Burma/Myanmar within a typical geography, there is an increase of 0.000% in Latvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Burma/Myanmar corresponds to an increase of 0.5 Latvians.

When considering income, the most significant differences between Immigrants from Burma/Myanmar and Latvian communities in the United States are seen in per capita income ($39,827 compared to $52,649, a difference of 32.2%), median family income ($94,472 compared to $120,301, a difference of 27.3%), and householder income ages 45 - 64 years ($91,385 compared to $115,957, a difference of 26.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($48,749 compared to $52,783, a difference of 8.3%), median female earnings ($38,028 compared to $43,941, a difference of 15.5%), and householder income over 65 years ($57,114 compared to $67,326, a difference of 17.9%).

When considering poverty, the most significant differences between Immigrants from Burma/Myanmar and Latvian communities in the United States are seen in married-couple family poverty (6.0% compared to 3.9%, a difference of 54.5%), family poverty (10.5% compared to 7.1%, a difference of 48.8%), and child poverty under the age of 16 (19.4% compared to 13.2%, a difference of 47.0%). Conversely, both communities are more comparable in terms of single father poverty (16.5% compared to 16.5%, a difference of 0.050%), single male poverty (13.1% compared to 12.7%, a difference of 3.6%), and female poverty among 18-24 year olds (21.6% compared to 19.5%, a difference of 10.8%).

When considering unemployment, the most significant differences between Immigrants from Burma/Myanmar and Latvian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.5% compared to 8.6%, a difference of 14.5%), unemployment among seniors over 75 years (7.7% compared to 8.6%, a difference of 11.1%), and unemployment among ages 35 to 44 years (4.6% compared to 4.2%, a difference of 10.2%). Conversely, both communities are more comparable in terms of unemployment among ages 25 to 29 years (6.2% compared to 6.2%, a difference of 0.50%), unemployment among ages 30 to 34 years (5.1% compared to 5.0%, a difference of 1.8%), and unemployment among ages 45 to 54 years (4.4% compared to 4.2%, a difference of 2.8%).

When considering labor participation, the most significant differences between Immigrants from Burma/Myanmar and Latvian communities in the United States are seen in in labor force | age 45-54 (82.0% compared to 83.8%, a difference of 2.1%), in labor force | age 25-29 (84.7% compared to 86.1%, a difference of 1.6%), and in labor force | age 35-44 (84.0% compared to 85.4%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (76.3% compared to 76.1%, a difference of 0.34%), in labor force | age 16-19 (39.0% compared to 38.9%, a difference of 0.42%), and in labor force | age 20-64 (79.7% compared to 80.5%, a difference of 1.1%).

When considering family structure, the most significant differences between Immigrants from Burma/Myanmar and Latvian communities in the United States are seen in single mother households (7.0% compared to 5.3%, a difference of 33.4%), single father households (2.4% compared to 2.0%, a difference of 20.8%), and births to unmarried women (32.9% compared to 27.7%, a difference of 18.6%). Conversely, both communities are more comparable in terms of family households (62.6% compared to 62.8%, a difference of 0.29%), divorced or separated (12.1% compared to 11.6%, a difference of 4.6%), and family households with children (28.0% compared to 26.4%, a difference of 5.9%).

When considering vehicle availability, the most significant differences between Immigrants from Burma/Myanmar and Latvian communities in the United States are seen in no vehicles in household (10.4% compared to 9.8%, a difference of 6.4%), 2 or more vehicles in household (53.9% compared to 56.2%, a difference of 4.3%), and 3 or more vehicles in household (18.8% compared to 19.3%, a difference of 2.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.7% compared to 90.3%, a difference of 0.75%), 4 or more vehicles in household (6.2% compared to 6.1%, a difference of 2.0%), and 3 or more vehicles in household (18.8% compared to 19.3%, a difference of 2.5%).

When considering education level, the most significant differences between Immigrants from Burma/Myanmar and Latvian communities in the United States are seen in no schooling completed (3.1% compared to 1.5%, a difference of 103.9%), professional degree (3.9% compared to 6.2%, a difference of 58.2%), and doctorate degree (1.7% compared to 2.6%, a difference of 50.4%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 98.5%, a difference of 1.7%), kindergarten (96.8% compared to 98.5%, a difference of 1.7%), and 1st grade (96.8% compared to 98.5%, a difference of 1.7%).

When considering disability, the most significant differences between Immigrants from Burma/Myanmar and Latvian communities in the United States are seen in disability age 35 to 64 (12.3% compared to 10.2%, a difference of 20.7%), disability age under 5 (1.1% compared to 1.3%, a difference of 16.4%), and disability age 65 to 74 (24.0% compared to 21.2%, a difference of 13.2%). Conversely, both communities are more comparable in terms of disability age 18 to 34 (6.8% compared to 6.8%, a difference of 0.20%), male disability (11.2% compared to 11.1%, a difference of 1.0%), and disability age 5 to 17 (5.6% compared to 5.4%, a difference of 3.3%).