Paiute vs Chinese Community Comparison

The statistical analysis conducted on geographies consisting of 30,231,397 people shows a near-perfect positive correlation between the proportion of Chinese within Paiute communities in the United States with a correlation coefficient (R) of 0.928. On average, for every 1% (one percent) increase in Paiute within a typical geography, there is an increase of 0.467% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Paiute corresponds to an increase of 466.6 Chinese.

When considering income, the most significant differences between Paiute and Chinese communities in the United States are seen in householder income over 65 years ($53,762 compared to $77,465, a difference of 44.1%), householder income ages 45 - 64 years ($82,629 compared to $116,156, a difference of 40.6%), and median family income ($85,414 compared to $116,188, a difference of 36.0%). Conversely, both communities are more comparable in terms of wage/income gap (25.5% compared to 25.9%, a difference of 1.4%), householder income under 25 years ($51,743 compared to $58,162, a difference of 12.4%), and median female earnings ($36,056 compared to $41,461, a difference of 15.0%).

When considering poverty, the most significant differences between Paiute and Chinese communities in the United States are seen in married-couple family poverty (8.3% compared to 3.6%, a difference of 127.4%), family poverty (13.0% compared to 6.5%, a difference of 99.7%), and child poverty among boys under 16 (22.8% compared to 11.9%, a difference of 91.9%). Conversely, both communities are more comparable in terms of single father poverty (21.6% compared to 15.4%, a difference of 40.4%), single mother poverty (35.1% compared to 24.6%, a difference of 42.7%), and female poverty among 18-24 year olds (23.3% compared to 16.2%, a difference of 44.1%).

When considering unemployment, the most significant differences between Paiute and Chinese communities in the United States are seen in unemployment among ages 45 to 54 years (7.8% compared to 4.0%, a difference of 96.4%), unemployment among youth under 25 years (17.6% compared to 10.7%, a difference of 63.9%), and unemployment among ages 35 to 44 years (6.9% compared to 4.3%, a difference of 60.0%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.5% compared to 9.3%, a difference of 8.9%), unemployment among ages 25 to 29 years (7.4% compared to 6.1%, a difference of 21.7%), and unemployment among ages 30 to 34 years (6.7% compared to 5.1%, a difference of 31.1%).

When considering labor participation, the most significant differences between Paiute and Chinese communities in the United States are seen in in labor force | age 45-54 (76.7% compared to 84.1%, a difference of 9.8%), in labor force | age 20-64 (74.7% compared to 80.7%, a difference of 8.0%), and in labor force | age 25-29 (78.1% compared to 84.3%, a difference of 8.0%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (75.3% compared to 77.3%, a difference of 2.5%), in labor force | age 16-19 (37.5% compared to 38.6%, a difference of 2.8%), and in labor force | age 30-34 (81.2% compared to 85.0%, a difference of 4.7%).

When considering family structure, the most significant differences between Paiute and Chinese communities in the United States are seen in single father households (3.3% compared to 2.0%, a difference of 67.1%), births to unmarried women (42.5% compared to 30.2%, a difference of 40.4%), and single mother households (7.0% compared to 5.2%, a difference of 34.7%). Conversely, both communities are more comparable in terms of family households with children (26.4% compared to 26.0%, a difference of 1.3%), average family size (3.29 compared to 3.34, a difference of 1.7%), and family households (64.0% compared to 68.1%, a difference of 6.4%).

When considering vehicle availability, the most significant differences between Paiute and Chinese communities in the United States are seen in no vehicles in household (11.8% compared to 8.2%, a difference of 43.7%), 2 or more vehicles in household (55.8% compared to 60.1%, a difference of 7.8%), and 1 or more vehicles in household (88.6% compared to 91.9%, a difference of 3.6%). Conversely, both communities are more comparable in terms of 3 or more vehicles in household (23.8% compared to 23.9%, a difference of 0.29%), 4 or more vehicles in household (9.0% compared to 8.8%, a difference of 1.8%), and 1 or more vehicles in household (88.6% compared to 91.9%, a difference of 3.6%).

When considering education level, the most significant differences between Paiute and Chinese communities in the United States are seen in no schooling completed (2.4% compared to 1.5%, a difference of 60.8%), master's degree (10.5% compared to 14.6%, a difference of 38.9%), and bachelor's degree (28.1% compared to 38.5%, a difference of 36.9%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 98.6%, a difference of 0.62%), kindergarten (97.9% compared to 98.5%, a difference of 0.65%), and 1st grade (97.9% compared to 98.5%, a difference of 0.65%).

When considering disability, the most significant differences between Paiute and Chinese communities in the United States are seen in disability age under 5 (3.9% compared to 1.1%, a difference of 242.7%), vision disability (2.9% compared to 2.0%, a difference of 39.6%), and disability age 35 to 64 (14.3% compared to 10.3%, a difference of 38.8%). Conversely, both communities are more comparable in terms of disability age over 75 (51.5% compared to 48.7%, a difference of 5.8%), hearing disability (4.1% compared to 3.7%, a difference of 10.8%), and cognitive disability (17.8% compared to 15.9%, a difference of 12.0%).