Burmese vs Peruvian Community Comparison

The statistical analysis conducted on geographies consisting of 338,769,987 people shows a poor negative correlation between the proportion of Peruvians within Burmese communities in the United States with a correlation coefficient (R) of -0.160. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.005% in Peruvians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 5.2 Peruvians.

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

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

When considering unemployment, the most significant differences between Burmese and Peruvian communities in the United States are seen in unemployment among women with children under 6 years (6.5% compared to 7.5%, a difference of 16.1%), unemployment among women with children ages 6 to 17 years (8.0% compared to 9.2%, a difference of 15.6%), and unemployment among women with children under 18 years (4.9% compared to 5.6%, a difference of 13.9%). Conversely, both communities are more comparable in terms of unemployment among ages 20 to 24 years (10.2% compared to 10.5%, a difference of 2.9%), unemployment among ages 16 to 19 years (17.0% compared to 17.7%, a difference of 4.2%), and unemployment among youth under 25 years (11.3% compared to 11.8%, a difference of 4.2%).

When considering labor participation, the most significant differences between Burmese and Peruvian communities in the United States are seen in in labor force | age 20-24 (73.6% compared to 74.5%, a difference of 1.3%), in labor force | age 30-34 (85.3% compared to 84.8%, a difference of 0.56%), and in labor force | age 25-29 (85.1% compared to 84.7%, 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 (66.2% compared to 66.3%, a difference of 0.13%).

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

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

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

When considering disability, the most significant differences between Burmese and Peruvian communities in the United States are seen in vision disability (1.8% compared to 2.1%, a difference of 12.2%), disability age under 5 (1.1% compared to 1.3%, a difference of 11.7%), and disability age 5 to 17 (4.8% compared to 5.3%, 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 (45.9% compared to 46.8%, a difference of 2.0%).