Pima vs Indian (Asian) Community Comparison

The statistical analysis conducted on geographies consisting of 60,885,336 people shows a moderate negative correlation between the proportion of Indians (Asian) within Pima communities in the United States with a correlation coefficient (R) of -0.448. On average, for every 1% (one percent) increase in Pima within a typical geography, there is a decrease of 0.012% in Indians (Asian). To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Pima corresponds to a decrease of 12.5 Indians (Asian).

When considering income, the most significant differences between Pima and Indian (Asian) communities in the United States are seen in per capita income ($30,644 compared to $53,874, a difference of 75.8%), householder income ages 45 - 64 years ($73,365 compared to $122,343, a difference of 66.8%), and median household income ($63,262 compared to $105,262, a difference of 66.4%). Conversely, both communities are more comparable in terms of householder income under 25 years ($51,503 compared to $58,239, a difference of 13.1%), wage/income gap (21.1% compared to 26.4%, a difference of 25.3%), and median female earnings ($35,326 compared to $46,481, a difference of 31.6%).

When considering poverty, the most significant differences between Pima and Indian (Asian) communities in the United States are seen in family poverty (18.4% compared to 7.7%, a difference of 138.2%), married-couple family poverty (11.4% compared to 4.8%, a difference of 136.6%), and female poverty among 25-34 year olds (25.3% compared to 11.2%, a difference of 126.4%). Conversely, both communities are more comparable in terms of single father poverty (14.8% compared to 14.8%, a difference of 0.17%), female poverty among 18-24 year olds (28.4% compared to 19.6%, a difference of 44.9%), and single mother poverty (38.6% compared to 25.8%, a difference of 49.9%).

When considering unemployment, the most significant differences between Pima and Indian (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 165.7%), unemployment among women with children ages 6 to 17 years (18.9% compared to 7.7%, a difference of 144.3%), and unemployment among women with children under 18 years (11.7% compared to 4.9%, a difference of 138.0%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.8% compared to 5.0%, a difference of 5.0%), unemployment among seniors over 75 years (9.2% compared to 8.0%, a difference of 15.7%), and unemployment among seniors over 65 years (6.3% compared to 5.2%, a difference of 21.6%).

When considering labor participation, the most significant differences between Pima and Indian (Asian) communities in the United States are seen in in labor force | age 20-64 (69.0% compared to 79.9%, a difference of 15.7%), in labor force | age 45-54 (72.8% compared to 83.3%, a difference of 14.4%), and in labor force | age > 16 (57.4% compared to 65.5%, a difference of 14.1%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (69.0% compared to 71.9%, a difference of 4.2%), in labor force | age 16-19 (34.1% compared to 31.9%, a difference of 7.0%), and in labor force | age 30-34 (79.0% compared to 85.4%, a difference of 8.0%).

When considering family structure, the most significant differences between Pima and Indian (Asian) communities in the United States are seen in single father households (4.2% compared to 1.9%, a difference of 119.1%), births to unmarried women (51.5% compared to 25.3%, a difference of 103.8%), and single mother households (8.3% compared to 5.1%, a difference of 62.1%). Conversely, both communities are more comparable in terms of family households (65.9% compared to 65.1%, a difference of 1.2%), family households with children (27.1% compared to 27.6%, a difference of 1.8%), and average family size (3.75 compared to 3.24, a difference of 15.5%).

When considering vehicle availability, the most significant differences between Pima and Indian (Asian) communities in the United States are seen in 4 or more vehicles in household (7.9% compared to 6.4%, a difference of 22.3%), 3 or more vehicles in household (22.0% compared to 19.1%, a difference of 15.3%), and 2 or more vehicles in household (52.0% compared to 53.1%, a difference of 2.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.3% compared to 86.0%, a difference of 0.29%), no vehicles in household (14.1% compared to 14.1%, a difference of 0.49%), and 2 or more vehicles in household (52.0% compared to 53.1%, a difference of 2.1%).

When considering education level, the most significant differences between Pima and Indian (Asian) communities in the United States are seen in master's degree (9.2% compared to 20.5%, a difference of 121.1%), doctorate degree (1.3% compared to 2.9%, a difference of 120.7%), and bachelor's degree (23.2% compared to 47.4%, a difference of 104.4%). Conversely, both communities are more comparable in terms of 8th grade (95.6% compared to 95.2%, a difference of 0.40%), 9th grade (93.9% compared to 94.5%, a difference of 0.56%), and 4th grade (97.7% compared to 97.2%, a difference of 0.60%).

When considering disability, the most significant differences between Pima and Indian (Asian) communities in the United States are seen in disability age 65 to 74 (38.6% compared to 20.5%, a difference of 88.0%), disability age 35 to 64 (16.1% compared to 8.9%, a difference of 82.3%), and vision disability (3.3% compared to 1.8%, a difference of 80.1%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.0%, a difference of 5.9%), cognitive disability (18.8% compared to 16.8%, a difference of 11.6%), and self-care disability (2.8% compared to 2.3%, a difference of 18.9%).