Peruvian vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 338,777,524 people shows a weak positive correlation between the proportion of Burmese within Peruvian communities in the United States with a correlation coefficient (R) of 0.297. On average, for every 1% (one percent) increase in Peruvians within a typical geography, there is an increase of 0.051% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Peruvians corresponds to an increase of 51.0 Burmese.

When considering income, the most significant differences between Peruvian and Burmese communities in the United States are seen in median male earnings ($55,659 compared to $65,236, a difference of 17.2%), median family income ($105,444 compared to $123,369, a difference of 17.0%), and per capita income ($44,479 compared to $52,005, a difference of 16.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($56,052 compared to $54,800, a difference of 2.3%), wage/income gap (25.6% compared to 28.0%, a difference of 9.4%), and median female earnings ($40,234 compared to $44,911, a difference of 11.6%).

When considering poverty, the most significant differences between Peruvian and Burmese communities in the United States are seen in receiving food stamps (11.7% compared to 8.6%, a difference of 35.8%), married-couple family poverty (5.3% compared to 4.3%, a difference of 22.6%), and child poverty under the age of 5 (16.0% compared to 13.2%, a difference of 20.9%). Conversely, both communities are more comparable in terms of single father poverty (15.4% compared to 15.5%, a difference of 0.28%), single male poverty (11.8% compared to 11.7%, a difference of 0.47%), and single mother poverty (27.5% compared to 26.2%, a difference of 4.8%).

When considering unemployment, the most significant differences between Peruvian 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 16.1%), unemployment among women with children ages 6 to 17 years (9.2% compared to 8.0%, a difference of 15.6%), and unemployment among women with children under 18 years (5.6% compared to 4.9%, a difference of 13.9%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.5% compared to 10.2%, a difference of 2.9%), unemployment among ages 16 to 19 years (17.7% compared to 17.0%, a difference of 4.2%), and unemployment among youth under 25 years (11.8% compared to 11.3%, a difference of 4.2%).

When considering labor participation, the most significant differences between Peruvian and Burmese communities in the United States are seen in in labor force | age 20-24 (74.5% compared to 73.6%, a difference of 1.3%), in labor force | age 30-34 (84.8% compared to 85.3%, a difference of 0.56%), and in labor force | age 25-29 (84.7% compared to 85.1%, a difference of 0.47%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.3% compared to 80.3%, a difference of 0.060%), in labor force | age 45-54 (83.6% compared to 83.6%, a difference of 0.080%), and in labor force | age > 16 (66.3% compared to 66.2%, a difference of 0.13%).

When considering family structure, the most significant differences between Peruvian and Burmese communities in the United States are seen in single mother households (6.5% compared to 5.3%, a difference of 23.6%), births to unmarried women (31.5% compared to 26.4%, a difference of 19.5%), and single father households (2.4% compared to 2.0%, a difference of 17.1%). Conversely, both communities are more comparable in terms of family households with children (29.0% compared to 28.5%, a difference of 1.8%), family households (67.1% compared to 65.7%, a difference of 2.1%), and average family size (3.30 compared to 3.22, a difference of 2.6%).

When considering vehicle availability, the most significant differences between Peruvian and Burmese communities in the United States are seen in no vehicles in household (11.2% compared to 9.7%, a difference of 16.2%), 4 or more vehicles in household (6.5% compared to 6.8%, a difference of 5.7%), and 3 or more vehicles in household (19.6% compared to 20.6%, a difference of 5.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.8% compared to 90.4%, a difference of 1.8%), 2 or more vehicles in household (55.0% compared to 57.8%, a difference of 5.1%), and 3 or more vehicles in household (19.6% compared to 20.6%, a difference of 5.2%).

When considering education level, the most significant differences between Peruvian and Burmese communities in the United States are seen in doctorate degree (1.8% compared to 2.6%, a difference of 46.8%), professional degree (4.5% compared to 6.1%, a difference of 36.3%), and master's degree (15.3% compared to 19.7%, a difference of 28.8%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.1%, a difference of 0.46%), kindergarten (97.6% compared to 98.1%, a difference of 0.47%), and 1st grade (97.6% compared to 98.0%, a difference of 0.47%).

When considering disability, the most significant differences between Peruvian and Burmese communities in the United States are seen in vision disability (2.1% compared to 1.8%, a difference of 12.2%), disability age under 5 (1.3% compared to 1.1%, a difference of 11.7%), and disability age 5 to 17 (5.3% compared to 4.8%, a difference of 11.1%). Conversely, both communities are more comparable in terms of cognitive disability (16.7% compared to 16.7%, a difference of 0.040%), disability age 18 to 34 (6.0% compared to 6.0%, a difference of 0.35%), and disability age over 75 (46.8% compared to 45.9%, a difference of 2.0%).