Immigrants from Lithuania vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 114,761,129 people shows a substantial negative correlation between the proportion of Burmese within Immigrant from Lithuania communities in the United States with a correlation coefficient (R) of -0.599. On average, for every 1% (one percent) increase in Immigrants from Lithuania within a typical geography, there is a decrease of 0.316% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Lithuania corresponds to a decrease of 315.7 Burmese.

When considering income, the most significant differences between Immigrants from Lithuania and Burmese communities in the United States are seen in householder income over 65 years ($66,087 compared to $71,139, a difference of 7.6%), median household income ($96,836 compared to $103,145, a difference of 6.5%), and householder income ages 45 - 64 years ($114,336 compared to $121,444, a difference of 6.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($55,028 compared to $54,800, a difference of 0.42%), per capita income ($51,361 compared to $52,005, a difference of 1.3%), and wage/income gap (28.6% compared to 28.0%, a difference of 2.1%).

When considering poverty, the most significant differences between Immigrants from Lithuania and Burmese communities in the United States are seen in female poverty among 18-24 year olds (17.4% compared to 18.9%, a difference of 8.6%), receiving food stamps (9.2% compared to 8.6%, a difference of 6.9%), and child poverty under the age of 5 (14.1% compared to 13.2%, a difference of 6.5%). Conversely, both communities are more comparable in terms of married-couple family poverty (4.3% compared to 4.3%, a difference of 0.010%), female poverty among 25-34 year olds (11.1% compared to 11.2%, a difference of 0.67%), and child poverty under the age of 16 (12.9% compared to 12.8%, a difference of 0.84%).

When considering unemployment, the most significant differences between Immigrants from Lithuania and Burmese communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 6.5%, a difference of 16.4%), unemployment among ages 45 to 54 years (4.6% compared to 4.2%, a difference of 7.7%), and unemployment among women with children ages 6 to 17 years (8.6% compared to 8.0%, a difference of 7.6%). Conversely, both communities are more comparable in terms of unemployment among ages 16 to 19 years (17.0% compared to 17.0%, a difference of 0.020%), unemployment among ages 65 to 74 years (5.2% compared to 5.2%, a difference of 0.12%), and unemployment among ages 20 to 24 years (10.1% compared to 10.2%, a difference of 0.13%).

When considering labor participation, the most significant differences between Immigrants from Lithuania and Burmese communities in the United States are seen in in labor force | age 16-19 (37.2% compared to 34.5%, a difference of 7.9%), in labor force | age 20-24 (76.1% compared to 73.6%, a difference of 3.5%), and in labor force | age 25-29 (86.1% compared to 85.1%, a difference of 1.1%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (83.9% compared to 83.6%, a difference of 0.29%), in labor force | age 30-34 (85.6% compared to 85.3%, a difference of 0.45%), and in labor force | age 20-64 (80.7% compared to 80.3%, a difference of 0.55%).

When considering family structure, the most significant differences between Immigrants from Lithuania and Burmese communities in the United States are seen in single father households (1.9% compared to 2.0%, a difference of 7.8%), family households with children (26.8% compared to 28.5%, a difference of 6.4%), and divorced or separated (11.3% compared to 10.7%, a difference of 5.4%). Conversely, both communities are more comparable in terms of currently married (48.8% compared to 48.9%, a difference of 0.21%), single mother households (5.3% compared to 5.3%, a difference of 0.69%), and average family size (3.15 compared to 3.22, a difference of 2.0%).

When considering vehicle availability, the most significant differences between Immigrants from Lithuania and Burmese communities in the United States are seen in 4 or more vehicles in household (5.6% compared to 6.8%, a difference of 21.0%), 3 or more vehicles in household (18.5% compared to 20.6%, a difference of 11.9%), and 2 or more vehicles in household (55.8% compared to 57.8%, a difference of 3.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.2% compared to 90.4%, a difference of 0.20%), no vehicles in household (9.8% compared to 9.7%, a difference of 1.5%), and 2 or more vehicles in household (55.8% compared to 57.8%, a difference of 3.5%).

When considering education level, the most significant differences between Immigrants from Lithuania and Burmese communities in the United States are seen in doctorate degree (2.2% compared to 2.6%, a difference of 19.3%), no schooling completed (1.7% compared to 1.9%, a difference of 15.4%), and professional degree (5.6% compared to 6.1%, a difference of 10.2%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 98.1%, a difference of 0.26%), kindergarten (98.3% compared to 98.1%, a difference of 0.26%), and 1st grade (98.3% compared to 98.0%, a difference of 0.26%).

When considering disability, the most significant differences between Immigrants from Lithuania and Burmese communities in the United States are seen in disability age under 5 (1.3% compared to 1.1%, a difference of 12.9%), disability age 5 to 17 (5.1% compared to 4.8%, a difference of 6.9%), and ambulatory disability (5.6% compared to 5.3%, a difference of 6.6%). Conversely, both communities are more comparable in terms of disability age 65 to 74 (20.5% compared to 20.6%, a difference of 0.35%), self-care disability (2.3% compared to 2.3%, a difference of 0.36%), and disability age over 75 (44.9% compared to 45.9%, a difference of 2.3%).