Indian (Asian) vs Immigrants from Cambodia Community Comparison

The statistical analysis conducted on geographies consisting of 202,883,043 people shows a moderate positive correlation between the proportion of Immigrants from Cambodia within Indian (Asian) communities in the United States with a correlation coefficient (R) of 0.480. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is an increase of 0.007% in Immigrants from Cambodia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to an increase of 7.1 Immigrants from Cambodia.

When considering income, the most significant differences between Indian (Asian) and Immigrants from Cambodia communities in the United States are seen in per capita income ($53,874 compared to $40,434, a difference of 33.2%), householder income ages 25 - 44 years ($119,496 compared to $91,533, a difference of 30.5%), and median family income ($125,312 compared to $97,222, a difference of 28.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($58,239 compared to $52,450, a difference of 11.0%), wage/income gap (26.4% compared to 23.3%, a difference of 13.6%), and median female earnings ($46,481 compared to $38,833, a difference of 19.7%).

When considering poverty, the most significant differences between Indian (Asian) and Immigrants from Cambodia communities in the United States are seen in receiving food stamps (9.6% compared to 13.9%, a difference of 44.1%), child poverty among girls under 16 (13.3% compared to 18.1%, a difference of 36.0%), and child poverty under the age of 16 (13.1% compared to 17.8%, a difference of 35.7%). Conversely, both communities are more comparable in terms of single father poverty (14.8% compared to 14.9%, a difference of 0.96%), female poverty among 18-24 year olds (19.6% compared to 18.8%, a difference of 4.4%), and seniors poverty over the age of 75 (12.7% compared to 13.6%, a difference of 6.4%).

When considering unemployment, the most significant differences between Indian (Asian) and Immigrants from Cambodia communities in the United States are seen in unemployment among women with children under 6 years (6.3% compared to 7.4%, a difference of 18.0%), unemployment among ages 35 to 44 years (4.4% compared to 5.0%, a difference of 13.8%), and unemployment among women with children under 18 years (4.9% compared to 5.5%, a difference of 11.8%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.0% compared to 8.0%, a difference of 0.15%), unemployment among youth under 25 years (11.5% compared to 11.5%, a difference of 0.32%), and unemployment among ages 60 to 64 years (5.0% compared to 5.1%, a difference of 0.75%).

When considering labor participation, the most significant differences between Indian (Asian) and Immigrants from Cambodia communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 36.7%, a difference of 15.3%), in labor force | age 20-24 (71.9% compared to 75.4%, a difference of 4.9%), and in labor force | age 45-54 (83.3% compared to 81.9%, a difference of 1.8%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.4%, a difference of 0.42%), in labor force | age > 16 (65.5% compared to 66.0%, a difference of 0.70%), and in labor force | age 20-64 (79.9% compared to 79.3%, a difference of 0.71%).

When considering family structure, the most significant differences between Indian (Asian) and Immigrants from Cambodia communities in the United States are seen in single mother households (5.1% compared to 7.2%, a difference of 41.5%), single father households (1.9% compared to 2.7%, a difference of 40.2%), and births to unmarried women (25.3% compared to 34.8%, a difference of 37.7%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 65.4%, a difference of 0.47%), average family size (3.24 compared to 3.33, a difference of 2.7%), and family households with children (27.6% compared to 28.9%, a difference of 4.7%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Immigrants from Cambodia communities in the United States are seen in no vehicles in household (14.1% compared to 10.2%, a difference of 37.8%), 4 or more vehicles in household (6.4% compared to 7.4%, a difference of 14.8%), and 3 or more vehicles in household (19.1% compared to 21.1%, a difference of 10.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.0% compared to 89.8%, a difference of 4.4%), 2 or more vehicles in household (53.1% compared to 56.2%, a difference of 5.9%), and 3 or more vehicles in household (19.1% compared to 21.1%, a difference of 10.2%).

When considering education level, the most significant differences between Indian (Asian) and Immigrants from Cambodia communities in the United States are seen in doctorate degree (2.9% compared to 1.5%, a difference of 90.3%), professional degree (6.5% compared to 3.6%, a difference of 78.9%), and master's degree (20.5% compared to 12.9%, a difference of 58.6%). Conversely, both communities are more comparable in terms of 1st grade (97.5% compared to 96.5%, a difference of 1.1%), nursery school (97.6% compared to 96.5%, a difference of 1.1%), and kindergarten (97.6% compared to 96.5%, a difference of 1.1%).

When considering disability, the most significant differences between Indian (Asian) and Immigrants from Cambodia communities in the United States are seen in disability age 35 to 64 (8.9% compared to 12.0%, a difference of 35.5%), disability age 5 to 17 (4.6% compared to 5.9%, a difference of 28.9%), and vision disability (1.8% compared to 2.3%, a difference of 25.4%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 50.0%, a difference of 7.5%), cognitive disability (16.8% compared to 18.1%, a difference of 7.5%), and hearing disability (2.7% compared to 3.0%, a difference of 9.1%).