Indian (Asian) vs Chinese Community Comparison

The statistical analysis conducted on geographies consisting of 64,452,623 people shows a substantial positive correlation between the proportion of Chinese within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.502. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.033% in Chinese. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 32.9 Chinese.

When considering income, the most significant differences between Indian (Asian) and Chinese communities in the United States are seen in per capita income ($53,874 compared to $46,098, a difference of 16.9%), median male earnings ($66,078 compared to $56,872, a difference of 16.2%), and median earnings ($56,253 compared to $48,836, a difference of 15.2%). Conversely, both communities are more comparable in terms of householder income under 25 years ($58,239 compared to $58,162, a difference of 0.13%), wage/income gap (26.4% compared to 25.9%, a difference of 2.1%), and householder income ages 45 - 64 years ($122,343 compared to $116,156, a difference of 5.3%).

When considering poverty, the most significant differences between Indian (Asian) and Chinese communities in the United States are seen in seniors poverty over the age of 75 (12.7% compared to 9.1%, a difference of 40.5%), seniors poverty over the age of 65 (11.1% compared to 8.3%, a difference of 33.1%), and married-couple family poverty (4.8% compared to 3.6%, a difference of 32.2%). Conversely, both communities are more comparable in terms of receiving food stamps (9.6% compared to 9.8%, a difference of 1.5%), female poverty among 25-34 year olds (11.2% compared to 11.0%, a difference of 1.9%), and single male poverty (11.3% compared to 11.0%, a difference of 2.5%).

When considering unemployment, the most significant differences between Indian (Asian) and Chinese communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 5.9%, a difference of 34.8%), unemployment among ages 60 to 64 years (5.0% compared to 4.0%, a difference of 25.5%), and unemployment among seniors over 65 years (5.2% compared to 4.2%, a difference of 22.8%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.30%), unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.46%), and unemployment among ages 25 to 29 years (6.3% compared to 6.1%, a difference of 2.8%).

When considering labor participation, the most significant differences between Indian (Asian) and Chinese communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 38.6%, a difference of 21.2%), in labor force | age 20-24 (71.9% compared to 77.3%, a difference of 7.5%), and in labor force | age > 16 (65.5% compared to 64.7%, a difference of 1.3%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.8% compared to 85.1%, a difference of 0.32%), in labor force | age 30-34 (85.4% compared to 85.0%, a difference of 0.43%), and in labor force | age 25-29 (84.7% compared to 84.3%, a difference of 0.44%).

When considering family structure, the most significant differences between Indian (Asian) and Chinese communities in the United States are seen in births to unmarried women (25.3% compared to 30.2%, a difference of 19.7%), divorced or separated (10.2% compared to 11.2%, a difference of 9.7%), and family households with children (27.6% compared to 26.0%, a difference of 6.1%). Conversely, both communities are more comparable in terms of single mother households (5.1% compared to 5.2%, a difference of 1.1%), average family size (3.24 compared to 3.34, a difference of 3.0%), and currently married (48.0% compared to 49.5%, a difference of 3.2%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Chinese communities in the United States are seen in no vehicles in household (14.1% compared to 8.2%, a difference of 71.1%), 4 or more vehicles in household (6.4% compared to 8.8%, a difference of 37.5%), and 3 or more vehicles in household (19.1% compared to 23.9%, a difference of 24.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 91.9%, a difference of 6.8%), 2 or more vehicles in household (53.1% compared to 60.1%, a difference of 13.2%), and 3 or more vehicles in household (19.1% compared to 23.9%, a difference of 24.9%).

When considering education level, the most significant differences between Indian (Asian) and Chinese communities in the United States are seen in no schooling completed (2.5% compared to 1.5%, a difference of 68.0%), doctorate degree (2.9% compared to 1.8%, a difference of 64.9%), and professional degree (6.5% compared to 4.5%, a difference of 46.2%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 98.6%, a difference of 0.95%), kindergarten (97.6% compared to 98.5%, a difference of 0.96%), and 1st grade (97.5% compared to 98.5%, a difference of 1.0%).

When considering disability, the most significant differences between Indian (Asian) and Chinese communities in the United States are seen in hearing disability (2.7% compared to 3.7%, a difference of 36.0%), male disability (9.7% compared to 12.1%, a difference of 24.2%), and ambulatory disability (5.4% compared to 6.5%, a difference of 21.0%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (4.6% compared to 4.7%, a difference of 2.8%), disability age over 75 (46.5% compared to 48.7%, a difference of 4.8%), and disability age 65 to 74 (20.5% compared to 21.7%, a difference of 5.7%).