Immigrants from India vs Immigrants from China Community Comparison

The statistical analysis conducted on geographies consisting of 399,653,041 people shows a weak positive correlation between the proportion of Immigrants from China within Immigrant from India communities in the United States with a correlation coefficient (R) of 0.292. On average, for every 1% (one percent) increase in Immigrants from India within a typical geography, there is an increase of 0.085% in Immigrants from China. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from India corresponds to an increase of 85.3 Immigrants from China.

When considering income, the most significant differences between Immigrants from India and Immigrants from China communities in the United States are seen in wage/income gap (31.5% compared to 26.7%, a difference of 18.2%), median male earnings ($74,207 compared to $67,353, a difference of 10.2%), and householder income ages 45 - 64 years ($132,488 compared to $122,178, a difference of 8.4%). Conversely, both communities are more comparable in terms of per capita income ($55,268 compared to $54,264, a difference of 1.8%), median female earnings ($48,292 compared to $46,972, a difference of 2.8%), and householder income under 25 years ($59,914 compared to $57,931, a difference of 3.4%).

When considering poverty, the most significant differences between Immigrants from India and Immigrants from China communities in the United States are seen in married-couple family poverty (3.6% compared to 5.0%, a difference of 36.2%), seniors poverty over the age of 65 (8.8% compared to 11.5%, a difference of 30.9%), and male poverty (8.2% compared to 10.7%, a difference of 30.3%). Conversely, both communities are more comparable in terms of single father poverty (14.0% compared to 14.9%, a difference of 6.5%), single female poverty (16.8% compared to 18.1%, a difference of 7.9%), and single mother poverty (23.8% compared to 26.1%, a difference of 9.6%).

When considering unemployment, the most significant differences between Immigrants from India and Immigrants from China communities in the United States are seen in male unemployment (4.4% compared to 5.2%, a difference of 19.5%), unemployment among ages 35 to 44 years (3.8% compared to 4.4%, a difference of 17.3%), and unemployment among ages 45 to 54 years (3.9% compared to 4.5%, a difference of 16.6%). 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 0.29%), unemployment among women with children under 6 years (6.1% compared to 6.2%, a difference of 1.9%), and unemployment among women with children under 18 years (4.7% compared to 4.9%, a difference of 5.4%).

When considering labor participation, the most significant differences between Immigrants from India and Immigrants from China communities in the United States are seen in in labor force | age 16-19 (35.0% compared to 31.1%, a difference of 12.5%), in labor force | age 20-24 (74.4% compared to 71.1%, a difference of 4.8%), and in labor force | age > 16 (67.6% compared to 65.4%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (85.2% compared to 85.4%, a difference of 0.17%), in labor force | age 35-44 (85.3% compared to 84.7%, a difference of 0.70%), and in labor force | age 25-29 (85.7% compared to 84.6%, a difference of 1.3%).

When considering family structure, the most significant differences between Immigrants from India and Immigrants from China communities in the United States are seen in family households with children (31.0% compared to 27.4%, a difference of 13.1%), married-couple households (52.7% compared to 48.4%, a difference of 8.9%), and currently married (51.8% compared to 47.9%, a difference of 8.1%). Conversely, both communities are more comparable in terms of divorced or separated (10.1% compared to 10.0%, a difference of 0.23%), single mother households (5.1% compared to 5.1%, a difference of 0.30%), and average family size (3.21 compared to 3.23, a difference of 0.68%).

When considering vehicle availability, the most significant differences between Immigrants from India and Immigrants from China communities in the United States are seen in no vehicles in household (8.2% compared to 15.2%, a difference of 85.6%), 2 or more vehicles in household (59.3% compared to 51.5%, a difference of 15.1%), and 3 or more vehicles in household (20.2% compared to 18.2%, a difference of 11.0%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (6.3% compared to 6.0%, a difference of 5.1%), 1 or more vehicles in household (91.9% compared to 84.9%, a difference of 8.2%), and 3 or more vehicles in household (20.2% compared to 18.2%, a difference of 11.0%).

When considering education level, the most significant differences between Immigrants from India and Immigrants from China communities in the United States are seen in no schooling completed (1.7% compared to 2.6%, a difference of 48.3%), professional degree (6.2% compared to 6.7%, a difference of 9.2%), and doctorate degree (2.8% compared to 3.1%, a difference of 9.1%). Conversely, both communities are more comparable in terms of nursery school (98.3% compared to 97.5%, a difference of 0.84%), kindergarten (98.3% compared to 97.4%, a difference of 0.85%), and 1st grade (98.2% compared to 97.4%, a difference of 0.86%).

When considering disability, the most significant differences between Immigrants from India and Immigrants from China communities in the United States are seen in self-care disability (2.0% compared to 2.3%, a difference of 15.3%), ambulatory disability (4.8% compared to 5.3%, a difference of 11.3%), and vision disability (1.7% compared to 1.8%, a difference of 8.9%). Conversely, both communities are more comparable in terms of disability age 5 to 17 (4.6% compared to 4.5%, a difference of 1.3%), disability age 18 to 34 (5.6% compared to 5.4%, a difference of 2.2%), and disability age over 75 (45.2% compared to 46.3%, a difference of 2.5%).