Burmese vs Pima Community Comparison

The statistical analysis conducted on geographies consisting of 60,276,867 people shows a slight negative correlation between the proportion of Pima within Burmese communities in the United States with a correlation coefficient (R) of -0.084. On average, for every 1% (one percent) increase in Burmese within a typical geography, there is a decrease of 0.001% in Pima. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Burmese corresponds to a decrease of 1.0 Pima.

When considering income, the most significant differences between Burmese and Pima communities in the United States are seen in per capita income ($52,005 compared to $30,644, a difference of 69.7%), householder income ages 45 - 64 years ($121,444 compared to $73,365, a difference of 65.5%), and median household income ($103,145 compared to $63,262, a difference of 63.0%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,800 compared to $51,503, a difference of 6.4%), median female earnings ($44,911 compared to $35,326, a difference of 27.1%), and wage/income gap (28.0% compared to 21.1%, a difference of 32.7%).

When considering poverty, the most significant differences between Burmese and Pima communities in the United States are seen in married-couple family poverty (4.3% compared to 11.4%, a difference of 164.1%), family poverty (7.3% compared to 18.4%, a difference of 150.8%), and child poverty among boys under 16 (13.0% compared to 29.7%, a difference of 129.3%). Conversely, both communities are more comparable in terms of single father poverty (15.5% compared to 14.8%, a difference of 4.7%), single mother poverty (26.2% compared to 38.6%, a difference of 47.1%), and female poverty among 18-24 year olds (18.9% compared to 28.4%, a difference of 50.3%).

When considering unemployment, the most significant differences between Burmese and Pima communities in the United States are seen in unemployment among ages 35 to 44 years (4.3% compared to 11.8%, a difference of 172.3%), unemployment among women with children ages 6 to 17 years (8.0% compared to 18.9%, a difference of 137.2%), and unemployment among women with children under 18 years (4.9% compared to 11.7%, a difference of 136.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.8%, a difference of 0.18%), unemployment among seniors over 75 years (8.2% compared to 9.2%, a difference of 12.7%), and unemployment among seniors over 65 years (5.0% compared to 6.3%, a difference of 25.2%).

When considering labor participation, the most significant differences between Burmese and Pima communities in the United States are seen in in labor force | age 20-64 (80.3% compared to 69.0%, a difference of 16.3%), in labor force | age > 16 (66.2% compared to 57.4%, a difference of 15.3%), and in labor force | age 45-54 (83.6% compared to 72.8%, a difference of 14.8%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (34.5% compared to 34.1%, a difference of 1.2%), in labor force | age 20-24 (73.6% compared to 69.0%, a difference of 6.6%), and in labor force | age 30-34 (85.3% compared to 79.0%, a difference of 7.9%).

When considering family structure, the most significant differences between Burmese and Pima communities in the United States are seen in single father households (2.0% compared to 4.2%, a difference of 105.4%), births to unmarried women (26.4% compared to 51.5%, a difference of 95.3%), and single mother households (5.3% compared to 8.3%, a difference of 56.6%). Conversely, both communities are more comparable in terms of family households (65.7% compared to 65.9%, a difference of 0.29%), family households with children (28.5% compared to 27.1%, a difference of 5.1%), and average family size (3.22 compared to 3.75, a difference of 16.5%).

When considering vehicle availability, the most significant differences between Burmese and Pima communities in the United States are seen in no vehicles in household (9.7% compared to 14.1%, a difference of 46.1%), 4 or more vehicles in household (6.8% compared to 7.9%, a difference of 15.3%), and 2 or more vehicles in household (57.8% compared to 52.0%, a difference of 11.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.4% compared to 86.3%, a difference of 4.8%), 3 or more vehicles in household (20.6% compared to 22.0%, a difference of 6.7%), and 2 or more vehicles in household (57.8% compared to 52.0%, a difference of 11.1%).

When considering education level, the most significant differences between Burmese and Pima communities in the United States are seen in master's degree (19.7% compared to 9.2%, a difference of 113.0%), bachelor's degree (46.9% compared to 23.2%, a difference of 102.0%), and doctorate degree (2.6% compared to 1.3%, a difference of 99.9%). Conversely, both communities are more comparable in terms of 6th grade (97.3% compared to 97.2%, a difference of 0.040%), 5th grade (97.5% compared to 97.6%, a difference of 0.050%), and 4th grade (97.7% compared to 97.7%, a difference of 0.080%).

When considering disability, the most significant differences between Burmese and Pima communities in the United States are seen in disability age 65 to 74 (20.6% compared to 38.6%, a difference of 87.2%), vision disability (1.8% compared to 3.3%, a difference of 80.1%), and disability age 35 to 64 (9.2% compared to 16.1%, a difference of 75.2%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.1%, a difference of 5.8%), cognitive disability (16.7% compared to 18.8%, a difference of 12.8%), and disability age over 75 (45.9% compared to 55.8%, a difference of 21.6%).