Immigrants from South Eastern Asia vs Colombian Community Comparison

The statistical analysis conducted on geographies consisting of 404,334,774 people shows a moderate negative correlation between the proportion of Colombians within Immigrant from South Eastern Asia communities in the United States with a correlation coefficient (R) of -0.491. On average, for every 1% (one percent) increase in Immigrants from South Eastern Asia within a typical geography, there is a decrease of 0.009% in Colombians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South Eastern Asia corresponds to a decrease of 9.4 Colombians.

When considering income, the most significant differences between Immigrants from South Eastern Asia and Colombian communities in the United States are seen in householder income over 65 years ($64,089 compared to $58,851, a difference of 8.9%), median household income ($91,541 compared to $85,716, a difference of 6.8%), and householder income ages 45 - 64 years ($106,109 compared to $99,772, a difference of 6.4%). Conversely, both communities are more comparable in terms of per capita income ($43,539 compared to $43,661, a difference of 0.28%), wage/income gap (24.8% compared to 24.7%, a difference of 0.32%), and median male earnings ($55,241 compared to $53,832, a difference of 2.6%).

When considering poverty, the most significant differences between Immigrants from South Eastern Asia and Colombian communities in the United States are seen in seniors poverty over the age of 75 (12.2% compared to 14.3%, a difference of 16.4%), seniors poverty over the age of 65 (10.8% compared to 12.5%, a difference of 15.6%), and receiving food stamps (11.1% compared to 12.6%, a difference of 14.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (17.8% compared to 17.7%, a difference of 0.65%), single female poverty (19.3% compared to 19.9%, a difference of 3.1%), and child poverty among girls under 16 (15.4% compared to 15.9%, a difference of 3.4%).

When considering unemployment, the most significant differences between Immigrants from South Eastern Asia and Colombian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.2% compared to 9.3%, a difference of 13.5%), unemployment among ages 16 to 19 years (17.1% compared to 18.3%, a difference of 6.7%), and unemployment among ages 65 to 74 years (5.3% compared to 5.6%, a difference of 6.1%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.5% compared to 8.5%, a difference of 0.11%), unemployment among ages 30 to 34 years (5.4% compared to 5.4%, a difference of 0.18%), and unemployment among ages 55 to 59 years (4.8% compared to 4.7%, a difference of 0.41%).

When considering labor participation, the most significant differences between Immigrants from South Eastern Asia and Colombian communities in the United States are seen in in labor force | age 16-19 (35.6% compared to 33.8%, a difference of 5.2%), in labor force | age 20-24 (75.1% compared to 73.5%, a difference of 2.2%), and in labor force | age 35-44 (84.2% compared to 85.0%, a difference of 0.91%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (65.9% compared to 65.9%, a difference of 0.020%), in labor force | age 30-34 (84.7% compared to 84.9%, a difference of 0.24%), and in labor force | age 25-29 (84.4% compared to 84.7%, a difference of 0.36%).

When considering family structure, the most significant differences between Immigrants from South Eastern Asia and Colombian communities in the United States are seen in divorced or separated (11.4% compared to 12.4%, a difference of 8.5%), births to unmarried women (30.4% compared to 32.2%, a difference of 6.2%), and single mother households (6.3% compared to 6.6%, a difference of 4.3%). Conversely, both communities are more comparable in terms of currently married (47.1% compared to 46.3%, a difference of 1.6%), family households (67.5% compared to 66.3%, a difference of 1.8%), and single father households (2.4% compared to 2.3%, a difference of 2.9%).

When considering vehicle availability, the most significant differences between Immigrants from South Eastern Asia and Colombian communities in the United States are seen in 4 or more vehicles in household (8.2% compared to 5.5%, a difference of 48.5%), 3 or more vehicles in household (23.1% compared to 17.8%, a difference of 29.9%), and no vehicles in household (8.6% compared to 10.0%, a difference of 16.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 88.0%, a difference of 3.9%), 2 or more vehicles in household (59.6% compared to 52.9%, a difference of 12.8%), and no vehicles in household (8.6% compared to 10.0%, a difference of 16.7%).

When considering education level, the most significant differences between Immigrants from South Eastern Asia and Colombian communities in the United States are seen in no schooling completed (2.9% compared to 2.3%, a difference of 24.2%), professional degree (4.0% compared to 4.6%, a difference of 14.2%), and master's degree (14.0% compared to 15.3%, a difference of 9.2%). Conversely, both communities are more comparable in terms of college, 1 year or more (58.5% compared to 58.7%, a difference of 0.18%), doctorate degree (1.7% compared to 1.7%, a difference of 0.41%), and nursery school (97.1% compared to 97.7%, a difference of 0.58%).

When considering disability, the most significant differences between Immigrants from South Eastern Asia and Colombian communities in the United States are seen in hearing disability (3.0% compared to 2.7%, a difference of 8.0%), disability age 18 to 34 (6.3% compared to 5.9%, a difference of 7.2%), and disability age 35 to 64 (10.6% compared to 9.9%, a difference of 7.0%). Conversely, both communities are more comparable in terms of vision disability (2.1% compared to 2.1%, a difference of 1.1%), ambulatory disability (5.9% compared to 5.8%, a difference of 1.2%), and female disability (11.7% compared to 11.5%, a difference of 2.1%).