Asian vs Colombian Community Comparison

The statistical analysis conducted on geographies consisting of 415,113,998 people shows a mild negative correlation between the proportion of Colombians within Asian communities in the United States with a correlation coefficient (R) of -0.330. On average, for every 1% (one percent) increase in Asians within a typical geography, there is a decrease of 0.005% in Colombians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Asians corresponds to a decrease of 4.9 Colombians.

When considering income, the most significant differences between Asian and Colombian communities in the United States are seen in householder income ages 25 - 44 years ($112,666 compared to $94,565, a difference of 19.1%), median family income ($119,955 compared to $100,750, a difference of 19.1%), and householder income ages 45 - 64 years ($118,426 compared to $99,772, a difference of 18.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($57,003 compared to $53,357, a difference of 6.8%), wage/income gap (26.9% compared to 24.7%, a difference of 8.9%), and median female earnings ($44,586 compared to $39,439, a difference of 13.1%).

When considering poverty, the most significant differences between Asian and Colombian communities in the United States are seen in receiving food stamps (9.7% compared to 12.6%, a difference of 30.4%), seniors poverty over the age of 65 (10.4% compared to 12.5%, a difference of 20.2%), and married-couple family poverty (4.7% compared to 5.6%, a difference of 19.5%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (18.2% compared to 17.7%, a difference of 2.9%), single male poverty (11.2% compared to 12.2%, a difference of 8.6%), and single female poverty (18.3% compared to 19.9%, a difference of 9.0%).

When considering unemployment, the most significant differences between Asian and Colombian communities in the United States are seen in unemployment among women with children ages 6 to 17 years (8.0% compared to 9.3%, a difference of 17.4%), unemployment among women with children under 6 years (6.7% compared to 7.5%, a difference of 12.3%), and unemployment among women with children under 18 years (5.1% compared to 5.6%, a difference of 9.6%). Conversely, both communities are more comparable in terms of unemployment among ages 55 to 59 years (4.7% compared to 4.7%, a difference of 0.69%), unemployment among ages 60 to 64 years (4.9% compared to 4.9%, a difference of 0.75%), and male unemployment (5.1% compared to 5.2%, a difference of 1.9%).

When considering labor participation, the most significant differences between Asian and Colombian communities in the United States are seen in in labor force | age 16-19 (34.1% compared to 33.8%, a difference of 0.69%), in labor force | age > 16 (66.2% compared to 65.9%, a difference of 0.50%), and in labor force | age 35-44 (84.7% compared to 85.0%, a difference of 0.34%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (80.2% compared to 80.1%, a difference of 0.030%), in labor force | age 45-54 (83.4% compared to 83.4%, a difference of 0.040%), and in labor force | age 25-29 (84.8% compared to 84.7%, a difference of 0.13%).

When considering family structure, the most significant differences between Asian and Colombian communities in the United States are seen in births to unmarried women (26.8% compared to 32.2%, a difference of 20.4%), single mother households (5.6% compared to 6.6%, a difference of 17.5%), and divorced or separated (10.6% compared to 12.4%, a difference of 16.4%). Conversely, both communities are more comparable in terms of family households (66.5% compared to 66.3%, a difference of 0.37%), average family size (3.28 compared to 3.26, a difference of 0.59%), and family households with children (29.1% compared to 28.3%, a difference of 2.7%).

When considering vehicle availability, the most significant differences between Asian and Colombian communities in the United States are seen in 4 or more vehicles in household (7.0% compared to 5.5%, a difference of 26.6%), 3 or more vehicles in household (20.8% compared to 17.8%, a difference of 16.8%), and no vehicles in household (9.0% compared to 10.0%, a difference of 11.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.1% compared to 88.0%, a difference of 3.5%), 2 or more vehicles in household (57.0% compared to 52.9%, a difference of 7.8%), and no vehicles in household (9.0% compared to 10.0%, a difference of 11.9%).

When considering education level, the most significant differences between Asian and Colombian communities in the United States are seen in doctorate degree (2.4% compared to 1.7%, a difference of 40.6%), master's degree (18.4% compared to 15.3%, a difference of 20.9%), and professional degree (5.5% compared to 4.6%, a difference of 19.6%). Conversely, both communities are more comparable in terms of 4th grade (97.1% compared to 97.1%, a difference of 0.010%), 2nd grade (97.5% compared to 97.6%, a difference of 0.040%), and 3rd grade (97.4% compared to 97.4%, a difference of 0.040%).

When considering disability, the most significant differences between Asian and Colombian communities in the United States are seen in disability age 5 to 17 (4.8% compared to 5.5%, a difference of 13.7%), disability age under 5 (1.1% compared to 1.2%, a difference of 12.6%), and vision disability (1.9% compared to 2.1%, a difference of 11.9%). Conversely, both communities are more comparable in terms of hearing disability (2.7% compared to 2.7%, a difference of 0.080%), disability age 18 to 34 (5.8% compared to 5.9%, a difference of 0.47%), and disability age over 75 (46.9% compared to 46.7%, a difference of 0.49%).