Pima vs Thai Community Comparison

The statistical analysis conducted on geographies consisting of 59,694,246 people shows a near-perfect positive correlation between the proportion of Thais within Pima communities in the United States with a correlation coefficient (R) of 0.909. On average, for every 1% (one percent) increase in Pima within a typical geography, there is an increase of 0.118% in Thais. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pima corresponds to an increase of 117.8 Thais.

When considering income, the most significant differences between Pima and Thai communities in the United States are seen in per capita income ($30,644 compared to $54,307, a difference of 77.2%), householder income ages 45 - 64 years ($73,365 compared to $129,560, a difference of 76.6%), and median household income ($63,262 compared to $110,648, a difference of 74.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,503 compared to $59,187, a difference of 14.9%), median female earnings ($35,326 compared to $47,577, a difference of 34.7%), and householder income over 65 years ($50,539 compared to $72,099, a difference of 42.7%).

When considering poverty, the most significant differences between Pima and Thai communities in the United States are seen in married-couple family poverty (11.4% compared to 3.9%, a difference of 191.0%), family poverty (18.4% compared to 6.7%, a difference of 174.6%), and child poverty among boys under 16 (29.7% compared to 11.7%, a difference of 154.7%). Conversely, both communities are more comparable in terms of single father poverty (14.8% compared to 14.5%, a difference of 1.7%), single mother poverty (38.6% compared to 24.5%, a difference of 57.6%), and female poverty among 18-24 year olds (28.4% compared to 17.0%, a difference of 67.3%).

When considering unemployment, the most significant differences between Pima and Thai communities in the United States are seen in unemployment among ages 35 to 44 years (11.8% compared to 3.9%, a difference of 198.5%), unemployment among women with children under 18 years (11.7% compared to 4.8%, a difference of 142.4%), and unemployment among women with children ages 6 to 17 years (18.9% compared to 7.8%, a difference of 141.2%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 4.7%, a difference of 2.5%), unemployment among seniors over 75 years (9.2% compared to 8.3%, a difference of 10.4%), and unemployment among seniors over 65 years (6.3% compared to 5.0%, a difference of 26.5%).

When considering labor participation, the most significant differences between Pima and Thai communities in the United States are seen in in labor force | age 20-64 (69.0% compared to 80.9%, a difference of 17.2%), in labor force | age > 16 (57.4% compared to 67.2%, a difference of 17.1%), and in labor force | age 45-54 (72.8% compared to 84.3%, a difference of 15.8%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (34.1% compared to 34.6%, a difference of 1.4%), in labor force | age 20-24 (69.0% compared to 74.0%, a difference of 7.2%), and in labor force | age 30-34 (79.0% compared to 85.2%, a difference of 7.8%).

When considering family structure, the most significant differences between Pima and Thai communities in the United States are seen in single father households (4.2% compared to 1.9%, a difference of 117.1%), births to unmarried women (51.5% compared to 24.0%, a difference of 114.3%), and single mother households (8.3% compared to 5.2%, a difference of 58.4%). Conversely, both communities are more comparable in terms of family households (65.9% compared to 67.2%, a difference of 1.9%), family households with children (27.1% compared to 30.6%, a difference of 13.0%), and average family size (3.75 compared to 3.22, a difference of 16.3%).

When considering vehicle availability, the most significant differences between Pima and Thai communities in the United States are seen in no vehicles in household (14.1% compared to 8.2%, a difference of 72.7%), 4 or more vehicles in household (7.9% compared to 6.2%, a difference of 26.1%), and 2 or more vehicles in household (52.0% compared to 57.9%, a difference of 11.4%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.3% compared to 91.9%, a difference of 6.5%), 3 or more vehicles in household (22.0% compared to 19.8%, a difference of 11.1%), and 2 or more vehicles in household (52.0% compared to 57.9%, a difference of 11.4%).

When considering education level, the most significant differences between Pima and Thai communities in the United States are seen in master's degree (9.2% compared to 21.7%, a difference of 134.8%), bachelor's degree (23.2% compared to 50.1%, a difference of 116.0%), and doctorate degree (1.3% compared to 2.8%, a difference of 109.7%). Conversely, both communities are more comparable in terms of 3rd grade (98.0% compared to 98.0%, a difference of 0.030%), nursery school (98.2% compared to 98.2%, a difference of 0.040%), and kindergarten (98.2% compared to 98.2%, a difference of 0.050%).

When considering disability, the most significant differences between Pima and Thai communities in the United States are seen in disability age 65 to 74 (38.6% compared to 20.1%, a difference of 92.3%), vision disability (3.3% compared to 1.7%, a difference of 91.4%), and disability age 35 to 64 (16.1% compared to 8.6%, a difference of 88.2%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.1%, a difference of 0.11%), cognitive disability (18.8% compared to 16.1%, a difference of 16.6%), and disability age over 75 (55.8% compared to 45.4%, a difference of 23.0%).