Latvian vs Immigrants from Burma/Myanmar Community Comparison

The statistical analysis conducted on geographies consisting of 115,148,336 people shows a moderate positive correlation between the proportion of Immigrants from Burma/Myanmar within Latvian communities in the United States with a correlation coefficient (R) of 0.479. On average, for every 1% (one percent) increase in Latvians within a typical geography, there is an increase of 0.117% in Immigrants from Burma/Myanmar. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Latvians corresponds to an increase of 116.8 Immigrants from Burma/Myanmar.

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

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

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

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

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

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

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

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