Indian (Asian) vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 452,568,729 people shows a near-perfect positive correlation between the proportion of Immigrants from China within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.944. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.759% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 759.4 Immigrants from China.

When considering income, the most significant differences between Indian (Asian) and Immigrants from China communities in the United States are seen in median male earnings ($66,078 compared to $67,353, a difference of 1.9%), householder income over 65 years ($70,238 compared to $69,174, a difference of 1.5%), and median female earnings ($46,481 compared to $46,972, a difference of 1.1%). Conversely, both communities are more comparable in terms of median household income ($105,262 compared to $105,335, a difference of 0.070%), householder income ages 45 - 64 years ($122,343 compared to $122,178, a difference of 0.14%), and median family income ($125,312 compared to $125,540, a difference of 0.18%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from China communities in the United States are seen in seniors poverty over the age of 75 (12.7% compared to 13.2%, a difference of 3.8%), seniors poverty over the age of 65 (11.1% compared to 11.5%, a difference of 3.5%), and female poverty among 18-24 year olds (19.6% compared to 20.2%, a difference of 2.9%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (11.2% compared to 11.2%, a difference of 0.21%), receiving food stamps (9.6% compared to 9.6%, a difference of 0.71%), and child poverty among girls under 16 (13.3% compared to 13.4%, a difference of 0.72%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from China communities in the United States are seen in unemployment among seniors over 75 years (8.0% compared to 7.8%, a difference of 2.5%), unemployment among ages 65 to 74 years (5.3% compared to 5.4%, a difference of 1.3%), and unemployment among seniors over 65 years (5.2% compared to 5.2%, a difference of 1.2%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (5.1% compared to 5.1%, a difference of 0.12%), unemployment among ages 25 to 29 years (6.3% compared to 6.2%, a difference of 0.19%), and unemployment among women with children under 18 years (4.9% compared to 4.9%, a difference of 0.20%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 31.1%, a difference of 2.3%), in labor force | age 20-24 (71.9% compared to 71.1%, a difference of 1.2%), and in labor force | age 20-64 (79.9% compared to 79.7%, a difference of 0.23%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.4% compared to 85.4%, a difference of 0.0%), in labor force | age 25-29 (84.7% compared to 84.6%, a difference of 0.12%), and in labor force | age 35-44 (84.8% compared to 84.7%, a difference of 0.12%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from China communities in the United States are seen in single father households (1.9% compared to 1.8%, a difference of 3.3%), births to unmarried women (25.3% compared to 24.7%, a difference of 2.4%), and divorced or separated (10.2% compared to 10.0%, a difference of 1.6%). Conversely, both communities are more comparable in terms of currently married (48.0% compared to 47.9%, a difference of 0.22%), average family size (3.24 compared to 3.23, a difference of 0.47%), and family households with children (27.6% compared to 27.4%, a difference of 0.52%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from China communities in the United States are seen in no vehicles in household (14.1% compared to 15.2%, a difference of 7.8%), 4 or more vehicles in household (6.4% compared to 6.0%, a difference of 6.7%), and 3 or more vehicles in household (19.1% compared to 18.2%, a difference of 5.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 84.9%, a difference of 1.3%), 2 or more vehicles in household (53.1% compared to 51.5%, a difference of 3.1%), and 3 or more vehicles in household (19.1% compared to 18.2%, a difference of 5.0%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from China communities in the United States are seen in doctorate degree (2.9% compared to 3.1%, a difference of 6.1%), no schooling completed (2.5% compared to 2.6%, a difference of 3.6%), and master's degree (20.5% compared to 21.2%, a difference of 3.6%). Conversely, both communities are more comparable in terms of college, under 1 year (70.8% compared to 70.9%, a difference of 0.11%), 1st grade (97.5% compared to 97.4%, a difference of 0.13%), and 2nd grade (97.5% compared to 97.3%, a difference of 0.13%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from China communities in the United States are seen in disability age under 5 (1.0% compared to 0.96%, a difference of 4.1%), hearing disability (2.7% compared to 2.6%, a difference of 3.1%), and male disability (9.7% compared to 9.5%, a difference of 2.1%). Conversely, both communities are more comparable in terms of self-care disability (2.3% compared to 2.3%, a difference of 0.41%), disability age over 75 (46.5% compared to 46.3%, a difference of 0.44%), and cognitive disability (16.8% compared to 16.9%, a difference of 0.44%).