Asian vs Pima Community Comparison

The statistical analysis conducted on geographies consisting of 60,599,015 people shows a mild negative correlation between the proportion of Pima within Asian communities in the United States with a correlation coefficient (R) of -0.320. On average, for every 1% (one percent) increase in Asians 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 Asians corresponds to a decrease of 1.1 Pima.

When considering income, the most significant differences between Asian and Pima communities in the United States are seen in per capita income ($50,057 compared to $30,644, a difference of 63.3%), householder income ages 45 - 64 years ($118,426 compared to $73,365, a difference of 61.4%), and median household income ($101,681 compared to $63,262, a difference of 60.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,003 compared to $51,503, a difference of 10.7%), median female earnings ($44,586 compared to $35,326, a difference of 26.2%), and wage/income gap (26.9% compared to 21.1%, a difference of 27.6%).

When considering poverty, the most significant differences between Asian and Pima communities in the United States are seen in married-couple family poverty (4.7% compared to 11.4%, a difference of 144.8%), family poverty (7.7% compared to 18.4%, a difference of 137.6%), and female poverty among 25-34 year olds (11.4% compared to 25.3%, a difference of 121.6%). Conversely, both communities are more comparable in terms of single father poverty (14.6% compared to 14.8%, a difference of 1.4%), single mother poverty (26.0% compared to 38.6%, a difference of 48.7%), and female poverty among 18-24 year olds (18.2% compared to 28.4%, a difference of 56.2%).

When considering unemployment, the most significant differences between Asian and Pima communities in the United States are seen in unemployment among ages 35 to 44 years (4.4% compared to 11.8%, a difference of 167.9%), 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 (5.1% compared to 11.7%, a difference of 130.3%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.8%, a difference of 1.9%), unemployment among seniors over 75 years (8.3% compared to 9.2%, a difference of 11.7%), and unemployment among seniors over 65 years (5.1% compared to 6.3%, a difference of 23.8%).

When considering labor participation, the most significant differences between Asian and Pima communities in the United States are seen in in labor force | age 20-64 (80.2% compared to 69.0%, a difference of 16.1%), in labor force | age > 16 (66.2% compared to 57.4%, a difference of 15.3%), and in labor force | age 45-54 (83.4% compared to 72.8%, a difference of 14.6%). Conversely, both communities are more comparable in terms of in labor force | age 16-19 (34.1% compared to 34.1%, a difference of 0.070%), in labor force | age 20-24 (73.7% compared to 69.0%, a difference of 6.7%), and in labor force | age 30-34 (85.1% compared to 79.0%, a difference of 7.6%).

When considering family structure, the most significant differences between Asian and Pima communities in the United States are seen in single father households (2.1% compared to 4.2%, a difference of 98.9%), births to unmarried women (26.8% compared to 51.5%, a difference of 92.2%), and single mother households (5.6% compared to 8.3%, a difference of 48.1%). Conversely, both communities are more comparable in terms of family households (66.5% compared to 65.9%, a difference of 0.87%), family households with children (29.1% compared to 27.1%, a difference of 7.2%), and average family size (3.28 compared to 3.75, a difference of 14.2%).

When considering vehicle availability, the most significant differences between Asian and Pima communities in the United States are seen in no vehicles in household (9.0% compared to 14.1%, a difference of 57.5%), 4 or more vehicles in household (7.0% compared to 7.9%, a difference of 12.2%), and 2 or more vehicles in household (57.0% compared to 52.0%, a difference of 9.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 86.3%, a difference of 5.6%), 3 or more vehicles in household (20.8% compared to 22.0%, a difference of 6.2%), and 2 or more vehicles in household (57.0% compared to 52.0%, a difference of 9.6%).

When considering education level, the most significant differences between Asian and Pima communities in the United States are seen in master's degree (18.4% compared to 9.2%, a difference of 99.4%), bachelor's degree (44.4% compared to 23.2%, a difference of 91.3%), and doctorate degree (2.4% compared to 1.3%, a difference of 84.2%). Conversely, both communities are more comparable in terms of 8th grade (95.2% compared to 95.6%, a difference of 0.39%), 9th grade (94.5% compared to 93.9%, a difference of 0.59%), and 6th grade (96.6% compared to 97.2%, a difference of 0.60%).

When considering disability, the most significant differences between Asian and Pima communities in the United States are seen in disability age 65 to 74 (21.4% compared to 38.6%, a difference of 80.6%), vision disability (1.9% compared to 3.3%, a difference of 75.3%), and disability age 35 to 64 (9.4% compared to 16.1%, a difference of 72.0%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.1%, a difference of 2.2%), cognitive disability (16.7% compared to 18.8%, a difference of 12.2%), and disability age over 75 (46.9% compared to 55.8%, a difference of 18.9%).