Indian (Asian) vs Immigrants from Eastern Asia Community Comparison

The statistical analysis conducted on geographies consisting of 474,932,141 people shows a near-perfect positive correlation between the proportion of Immigrants from Eastern Asia within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.948. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.767% in Immigrants from Eastern Asia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 766.6 Immigrants from Eastern Asia.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Eastern Asia communities in the United States are seen in wage/income gap (26.4% compared to 27.1%, a difference of 2.3%), householder income under 25 years ($58,239 compared to $57,123, a difference of 1.9%), and median male earnings ($66,078 compared to $66,903, a difference of 1.3%). Conversely, both communities are more comparable in terms of median female earnings ($46,481 compared to $46,502, a difference of 0.050%), householder income ages 45 - 64 years ($122,343 compared to $122,222, a difference of 0.10%), and median earnings ($56,253 compared to $56,183, a difference of 0.12%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Eastern Asia communities in the United States are seen in receiving food stamps (9.6% compared to 9.3%, a difference of 3.4%), single male poverty (11.3% compared to 11.4%, a difference of 1.5%), and single mother poverty (25.8% compared to 26.1%, a difference of 1.2%). Conversely, both communities are more comparable in terms of poverty (11.3% compared to 11.3%, a difference of 0.080%), family poverty (7.7% compared to 7.7%, a difference of 0.10%), and child poverty under the age of 16 (13.1% compared to 13.1%, a difference of 0.12%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Eastern Asia communities in the United States are seen in unemployment among ages 55 to 59 years (4.9% compared to 4.8%, a difference of 1.9%), male unemployment (5.2% compared to 5.1%, a difference of 1.7%), and unemployment among ages 35 to 44 years (4.4% compared to 4.4%, a difference of 1.1%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (7.7% compared to 7.7%, a difference of 0.010%), unemployment among youth under 25 years (11.5% compared to 11.5%, a difference of 0.030%), and unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.050%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Eastern Asia communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 32.0%, a difference of 0.50%), in labor force | age > 16 (65.5% compared to 65.7%, a difference of 0.22%), and in labor force | age 20-24 (71.9% compared to 71.8%, a difference of 0.13%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.4%, a difference of 0.020%), in labor force | age 20-64 (79.9% compared to 79.9%, a difference of 0.040%), and in labor force | age 45-54 (83.3% compared to 83.4%, a difference of 0.040%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Eastern Asia communities in the United States are seen in single father households (1.9% compared to 1.9%, a difference of 0.93%), births to unmarried women (25.3% compared to 25.0%, a difference of 0.90%), and average family size (3.24 compared to 3.22, a difference of 0.64%). Conversely, both communities are more comparable in terms of married-couple households (48.7% compared to 48.8%, a difference of 0.12%), single mother households (5.1% compared to 5.1%, a difference of 0.19%), and family households with children (27.6% compared to 27.7%, a difference of 0.31%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Eastern Asia communities in the United States are seen in no vehicles in household (14.1% compared to 13.5%, a difference of 3.8%), 4 or more vehicles in household (6.4% compared to 6.2%, a difference of 3.5%), and 3 or more vehicles in household (19.1% compared to 18.8%, a difference of 1.5%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (53.1% compared to 53.2%, a difference of 0.23%), 1 or more vehicles in household (86.0% compared to 86.5%, a difference of 0.58%), and 3 or more vehicles in household (19.1% compared to 18.8%, a difference of 1.5%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Eastern Asia communities in the United States are seen in no schooling completed (2.5% compared to 2.4%, a difference of 4.7%), master's degree (20.5% compared to 20.8%, a difference of 1.8%), and doctorate degree (2.9% compared to 3.0%, a difference of 1.8%). Conversely, both communities are more comparable in terms of 4th grade (97.2% compared to 97.2%, a difference of 0.030%), nursery school (97.6% compared to 97.7%, a difference of 0.040%), and kindergarten (97.6% compared to 97.6%, a difference of 0.040%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Eastern Asia communities in the United States are seen in disability age under 5 (1.0% compared to 1.0%, a difference of 1.9%), self-care disability (2.3% compared to 2.3%, a difference of 1.5%), and ambulatory disability (5.4% compared to 5.3%, a difference of 1.3%). Conversely, both communities are more comparable in terms of cognitive disability (16.8% compared to 16.8%, a difference of 0.24%), disability age 5 to 17 (4.6% compared to 4.6%, a difference of 0.33%), and disability age 18 to 34 (5.5% compared to 5.6%, a difference of 0.58%).