Indian (Asian) vs Colombian Community Comparison

The statistical analysis conducted on geographies consisting of 401,074,608 people shows a slight negative correlation between the proportion of Colombians within Indian (Asian) communities in the United States with a correlation coefficient (R) of -0.062. On average, for every 1% (one percent) increase in Indians (Asian) within a typical geography, there is a decrease of 0.002% in Colombians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Indians (Asian) corresponds to a decrease of 2.0 Colombians.

When considering income, the most significant differences between Indian (Asian) and Colombian communities in the United States are seen in householder income ages 25 - 44 years ($119,496 compared to $94,565, a difference of 26.4%), median family income ($125,312 compared to $100,750, a difference of 24.4%), and per capita income ($53,874 compared to $43,661, a difference of 23.4%). Conversely, both communities are more comparable in terms of wage/income gap (26.4% compared to 24.7%, a difference of 7.0%), householder income under 25 years ($58,239 compared to $53,357, a difference of 9.1%), and median female earnings ($46,481 compared to $39,439, a difference of 17.8%).

When considering poverty, the most significant differences between Indian (Asian) and Colombian communities in the United States are seen in receiving food stamps (9.6% compared to 12.6%, a difference of 31.2%), child poverty under the age of 5 (13.4% compared to 16.7%, a difference of 24.0%), and child poverty among boys under 16 (13.3% compared to 16.1%, a difference of 21.7%). Conversely, both communities are more comparable in terms of male poverty (10.4% compared to 11.0%, a difference of 6.3%), single male poverty (11.3% compared to 12.2%, a difference of 8.0%), and poverty (11.3% compared to 12.2%, a difference of 8.0%).

When considering unemployment, the most significant differences between Indian (Asian) and Colombian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (7.7% compared to 9.3%, a difference of 20.9%), unemployment among women with children under 6 years (6.3% compared to 7.5%, a difference of 19.1%), and unemployment among women with children under 18 years (4.9% compared to 5.6%, a difference of 13.3%). Conversely, both communities are more comparable in terms of male unemployment (5.2% compared to 5.2%, a difference of 0.45%), unemployment among ages 45 to 54 years (4.5% compared to 4.5%, a difference of 0.74%), and unemployment among ages 20 to 24 years (10.3% compared to 10.4%, a difference of 1.6%).

When considering labor participation, the most significant differences between Indian (Asian) and Colombian communities in the United States are seen in in labor force | age 16-19 (31.9% compared to 33.8%, a difference of 6.2%), in labor force | age 20-24 (71.9% compared to 73.5%, a difference of 2.2%), and in labor force | age > 16 (65.5% compared to 65.9%, a difference of 0.55%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.7% compared to 84.7%, a difference of 0.010%), in labor force | age 45-54 (83.3% compared to 83.4%, a difference of 0.12%), and in labor force | age 35-44 (84.8% compared to 85.0%, a difference of 0.19%).

When considering family structure, the most significant differences between Indian (Asian) and Colombian communities in the United States are seen in single mother households (5.1% compared to 6.6%, a difference of 28.6%), births to unmarried women (25.3% compared to 32.2%, a difference of 27.6%), and single father households (1.9% compared to 2.3%, a difference of 22.8%). Conversely, both communities are more comparable in terms of average family size (3.24 compared to 3.26, a difference of 0.52%), family households (65.1% compared to 66.3%, a difference of 1.7%), and family households with children (27.6% compared to 28.3%, a difference of 2.5%).

When considering vehicle availability, the most significant differences between Indian (Asian) and Colombian communities in the United States are seen in no vehicles in household (14.1% compared to 10.0%, a difference of 40.1%), 4 or more vehicles in household (6.4% compared to 5.5%, a difference of 16.1%), and 3 or more vehicles in household (19.1% compared to 17.8%, a difference of 7.5%). Conversely, both communities are more comparable in terms of 2 or more vehicles in household (53.1% compared to 52.9%, a difference of 0.47%), 1 or more vehicles in household (86.0% compared to 88.0%, a difference of 2.3%), and 3 or more vehicles in household (19.1% compared to 17.8%, a difference of 7.5%).

When considering education level, the most significant differences between Indian (Asian) and Colombian communities in the United States are seen in doctorate degree (2.9% compared to 1.7%, a difference of 68.5%), professional degree (6.5% compared to 4.6%, a difference of 41.6%), and master's degree (20.5% compared to 15.3%, a difference of 34.1%). Conversely, both communities are more comparable in terms of 4th grade (97.2% compared to 97.1%, a difference of 0.020%), 3rd grade (97.4% compared to 97.4%, a difference of 0.030%), and 5th grade (96.9% compared to 96.9%, a difference of 0.040%).

When considering disability, the most significant differences between Indian (Asian) and Colombian communities in the United States are seen in disability age under 5 (1.0% compared to 1.2%, a difference of 21.9%), disability age 5 to 17 (4.6% compared to 5.5%, a difference of 19.6%), and vision disability (1.8% compared to 2.1%, a difference of 15.0%). Conversely, both communities are more comparable in terms of disability age over 75 (46.5% compared to 46.7%, a difference of 0.43%), hearing disability (2.7% compared to 2.7%, a difference of 1.2%), and cognitive disability (16.8% compared to 16.6%, a difference of 1.4%).