Indian (Asian) vs Pima Community Comparison

The statistical analysis conducted on geographies consisting of 54,977,619 people shows no correlation between the proportion of Pima within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.039. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.000% in Pima. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 0.1 Pima.

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

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

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

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

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

When considering vehicle availability, the most significant differences between Indian (Asian) and Pima communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 7.9%, a difference of 22.3%), 3 or more vehicles in household (19.1% compared to 22.0%, a difference of 15.3%), and 2 or more vehicles in household (53.1% compared to 52.0%, a difference of 2.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 86.3%, 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 (53.1% compared to 52.0%, a difference of 2.1%).

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

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