Immigrants from Asia vs Immigrants from Colombia Community Comparison

The statistical analysis conducted on geographies consisting of 376,387,965 people shows no correlation between the proportion of Immigrants from Colombia within Immigrant from Asia communities in the United States with a correlation coefficient (R) of 0.006. On average, for every 1% (one percent) increase in Immigrants from Asia within a typical geography, there is an increase of 0.000% in Immigrants from Colombia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Asia corresponds to an increase of 0.1 Immigrants from Colombia.

When considering income, the most significant differences between Immigrants from Asia and Immigrants from Colombia communities in the United States are seen in median family income ($118,291 compared to $98,067, a difference of 20.6%), householder income ages 25 - 44 years ($110,787 compared to $92,204, a difference of 20.2%), and median male earnings ($63,240 compared to $52,725, a difference of 19.9%). Conversely, both communities are more comparable in terms of householder income under 25 years ($56,379 compared to $53,714, a difference of 5.0%), wage/income gap (27.0% compared to 24.3%, a difference of 10.9%), and median female earnings ($44,198 compared to $38,913, a difference of 13.6%).

When considering poverty, the most significant differences between Immigrants from Asia and Immigrants from Colombia communities in the United States are seen in receiving food stamps (9.9% compared to 12.9%, a difference of 30.6%), seniors poverty over the age of 65 (10.6% compared to 12.9%, a difference of 21.9%), and seniors poverty over the age of 75 (12.2% compared to 14.6%, a difference of 19.7%). Conversely, both communities are more comparable in terms of single male poverty (11.4% compared to 12.1%, a difference of 6.1%), female poverty among 18-24 year olds (18.6% compared to 17.3%, a difference of 7.0%), and single father poverty (14.7% compared to 15.8%, a difference of 7.5%).

When considering unemployment, the most significant differences between Immigrants from Asia and Immigrants from Colombia communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.1% compared to 9.3%, a difference of 15.7%), unemployment among women with children under 6 years (6.8% compared to 7.4%, a difference of 9.7%), and unemployment among women with children under 18 years (5.1% compared to 5.6%, a difference of 8.3%). Conversely, both communities are more comparable in terms of unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.050%), unemployment among ages 20 to 24 years (10.3% compared to 10.3%, a difference of 0.19%), and male unemployment (5.1% compared to 5.1%, a difference of 0.41%).

When considering labor participation, the most significant differences between Immigrants from Asia and Immigrants from Colombia communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 33.5%, a difference of 2.0%), in labor force | age 35-44 (84.5% compared to 84.9%, a difference of 0.44%), and in labor force | age > 16 (66.1% compared to 65.9%, a difference of 0.36%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (84.8% compared to 84.7%, a difference of 0.080%), in labor force | age 20-64 (80.1% compared to 80.2%, a difference of 0.12%), and in labor force | age 45-54 (83.3% compared to 83.4%, a difference of 0.14%).

When considering family structure, the most significant differences between Immigrants from Asia and Immigrants from Colombia communities in the United States are seen in births to unmarried women (26.8% compared to 32.6%, a difference of 21.8%), single mother households (5.6% compared to 6.7%, a difference of 19.2%), and divorced or separated (10.7% compared to 12.6%, a difference of 17.3%). Conversely, both communities are more comparable in terms of average family size (3.27 compared to 3.27, a difference of 0.090%), family households (66.1% compared to 66.3%, a difference of 0.30%), and family households with children (28.8% compared to 28.2%, a difference of 2.3%).

When considering vehicle availability, the most significant differences between Immigrants from Asia and Immigrants from Colombia communities in the United States are seen in 4 or more vehicles in household (6.8% compared to 5.4%, a difference of 26.5%), 3 or more vehicles in household (20.2% compared to 17.3%, a difference of 16.9%), and 2 or more vehicles in household (56.3% compared to 52.0%, a difference of 8.3%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (89.3% compared to 87.6%, a difference of 1.9%), no vehicles in household (10.9% compared to 10.5%, a difference of 3.6%), and 2 or more vehicles in household (56.3% compared to 52.0%, a difference of 8.3%).

When considering education level, the most significant differences between Immigrants from Asia and Immigrants from Colombia communities in the United States are seen in doctorate degree (2.4% compared to 1.7%, a difference of 46.1%), master's degree (18.4% compared to 14.9%, a difference of 23.7%), and professional degree (5.5% compared to 4.5%, a difference of 23.2%). Conversely, both communities are more comparable in terms of nursery school (97.6% compared to 97.6%, a difference of 0.010%), kindergarten (97.6% compared to 97.6%, a difference of 0.010%), and 1st grade (97.5% compared to 97.5%, a difference of 0.010%).

When considering disability, the most significant differences between Immigrants from Asia and Immigrants from Colombia communities in the United States are seen in disability age under 5 (1.1% compared to 1.2%, a difference of 13.2%), disability age 5 to 17 (4.8% compared to 5.4%, a difference of 11.8%), and vision disability (1.9% compared to 2.1%, a difference of 11.3%). Conversely, both communities are more comparable in terms of disability age over 75 (47.0% compared to 46.7%, a difference of 0.76%), hearing disability (2.7% compared to 2.7%, a difference of 1.5%), and self-care disability (2.4% compared to 2.4%, a difference of 1.7%).