Pima vs Asian Community Comparison

The statistical analysis conducted on geographies consisting of 61,330,712 people shows a weak positive correlation between the proportion of Asians within Pima communities in the United States with a correlation coefficient (R) of 0.277. On average, for every 1% (one percent) increase in Pima within a typical geography, there is an increase of 0.056% in Asians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pima corresponds to an increase of 55.8 Asians.

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

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

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

When considering labor participation, the most significant differences between Pima and Asian communities in the United States are seen in in labor force | age 20-64 (69.0% compared to 80.2%, a difference of 16.1%), 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 83.4%, 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 (69.0% compared to 73.7%, a difference of 6.7%), and in labor force | age 30-34 (79.0% compared to 85.1%, a difference of 7.6%).

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

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

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

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