Thai vs Pima Community Comparison

The statistical analysis conducted on geographies consisting of 59,628,371 people shows a poor negative correlation between the proportion of Pima within Thai communities in the United States with a correlation coefficient (R) of -0.132. On average, for every 1% (one percent) increase in Thais within a typical geography, there is a decrease of 0.002% in Pima. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Thais corresponds to a decrease of 1.5 Pima.

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

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

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

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

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

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

When considering education level, the most significant differences between Thai and Pima communities in the United States are seen in master's degree (21.7% compared to 9.2%, a difference of 134.8%), bachelor's degree (50.1% compared to 23.2%, a difference of 116.0%), and doctorate degree (2.8% compared to 1.3%, 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 Thai and Pima communities in the United States are seen in disability age 65 to 74 (20.1% compared to 38.6%, a difference of 92.3%), vision disability (1.7% compared to 3.3%, a difference of 91.4%), and disability age 35 to 64 (8.6% compared to 16.1%, 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 (16.1% compared to 18.8%, a difference of 16.6%), and disability age over 75 (45.4% compared to 55.8%, a difference of 23.0%).