Pima vs Burmese Community Comparison

The statistical analysis conducted on geographies consisting of 60,278,046 people shows a moderate negative correlation between the proportion of Burmese within Pima communities in the United States with a correlation coefficient (R) of -0.442. On average, for every 1% (one percent) increase in Pima within a typical geography, there is a decrease of 0.030% in Burmese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pima corresponds to a decrease of 29.7 Burmese.

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

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

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

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

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

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

When considering education level, the most significant differences between Pima and Burmese communities in the United States are seen in master's degree (9.2% compared to 19.7%, a difference of 113.0%), bachelor's degree (23.2% compared to 46.9%, a difference of 102.0%), and doctorate degree (1.3% compared to 2.6%, a difference of 99.9%). Conversely, both communities are more comparable in terms of 6th grade (97.2% compared to 97.3%, a difference of 0.040%), 5th grade (97.6% compared to 97.5%, 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 Pima and Burmese communities in the United States are seen in disability age 65 to 74 (38.6% compared to 20.6%, a difference of 87.2%), vision disability (3.3% compared to 1.8%, a difference of 80.1%), and disability age 35 to 64 (16.1% compared to 9.2%, 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 (18.8% compared to 16.7%, a difference of 12.8%), and disability age over 75 (55.8% compared to 45.9%, a difference of 21.6%).