White/Caucasian vs Immigrants from Latin America Community Comparison

The statistical analysis conducted on geographies consisting of 558,674,718 people shows a strong negative correlation between the proportion of Immigrants from Latin America within White/Caucasian communities in the United States with a correlation coefficient (R) of -0.717. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is a decrease of 0.143% in Immigrants from Latin America. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to a decrease of 143.2 Immigrants from Latin America.

When considering income, the most significant differences between White/Caucasian and Immigrants from Latin America communities in the United States are seen in wage/income gap (28.5% compared to 23.7%, a difference of 20.2%), median male earnings ($53,925 compared to $46,941, a difference of 14.9%), and median family income ($99,800 compared to $86,989, a difference of 14.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($50,336 compared to $51,387, a difference of 2.1%), median female earnings ($37,531 compared to $35,307, a difference of 6.3%), and median household income ($82,029 compared to $75,420, a difference of 8.8%).

When considering poverty, the most significant differences between White/Caucasian and Immigrants from Latin America communities in the United States are seen in married-couple family poverty (4.8% compared to 7.2%, a difference of 49.3%), receiving food stamps (11.1% compared to 15.7%, a difference of 41.7%), and seniors poverty over the age of 65 (10.0% compared to 14.2%, a difference of 40.9%). Conversely, both communities are more comparable in terms of single mother poverty (31.2% compared to 32.4%, a difference of 4.0%), single female poverty (22.7% compared to 23.7%, a difference of 4.4%), and female poverty among 18-24 year olds (20.8% compared to 19.7%, a difference of 5.2%).

When considering unemployment, the most significant differences between White/Caucasian and Immigrants from Latin America communities in the United States are seen in female unemployment (4.9% compared to 6.1%, a difference of 25.1%), unemployment (4.9% compared to 5.9%, a difference of 22.0%), and unemployment among women with children under 18 years (5.3% compared to 6.4%, a difference of 21.0%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.6% compared to 9.6%, a difference of 0.070%), unemployment among women with children under 6 years (8.4% compared to 8.6%, a difference of 2.6%), and unemployment among ages 25 to 29 years (6.9% compared to 7.4%, a difference of 8.1%).

When considering labor participation, the most significant differences between White/Caucasian and Immigrants from Latin America communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 33.9%, a difference of 21.9%), in labor force | age 20-24 (76.9% compared to 74.1%, a difference of 3.9%), and in labor force | age > 16 (63.6% compared to 64.8%, a difference of 1.9%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (78.5% compared to 78.3%, a difference of 0.33%), in labor force | age 30-34 (83.9% compared to 83.1%, a difference of 0.92%), and in labor force | age 35-44 (83.6% compared to 82.8%, a difference of 0.97%).

When considering family structure, the most significant differences between White/Caucasian and Immigrants from Latin America communities in the United States are seen in single mother households (6.1% compared to 7.9%, a difference of 29.5%), single father households (2.4% compared to 2.8%, a difference of 16.8%), and births to unmarried women (33.3% compared to 37.1%, a difference of 11.7%). Conversely, both communities are more comparable in terms of divorced or separated (12.6% compared to 12.4%, a difference of 1.6%), family households (65.1% compared to 67.2%, a difference of 3.3%), and family households with children (27.4% compared to 29.7%, a difference of 8.1%).

When considering vehicle availability, the most significant differences between White/Caucasian and Immigrants from Latin America communities in the United States are seen in no vehicles in household (7.0% compared to 10.4%, a difference of 47.3%), 2 or more vehicles in household (60.8% compared to 54.3%, a difference of 12.0%), and 3 or more vehicles in household (22.6% compared to 20.5%, a difference of 9.9%). Conversely, both communities are more comparable in terms of 4 or more vehicles in household (7.4% compared to 7.1%, a difference of 3.1%), 1 or more vehicles in household (93.1% compared to 89.8%, a difference of 3.6%), and 3 or more vehicles in household (22.6% compared to 20.5%, a difference of 9.9%).

When considering education level, the most significant differences between White/Caucasian and Immigrants from Latin America communities in the United States are seen in no schooling completed (1.6% compared to 3.3%, a difference of 101.7%), doctorate degree (1.8% compared to 1.3%, a difference of 34.7%), and professional degree (4.1% compared to 3.3%, a difference of 23.5%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 96.7%, a difference of 1.8%), kindergarten (98.4% compared to 96.7%, a difference of 1.8%), and 1st grade (98.4% compared to 96.7%, a difference of 1.8%).

When considering disability, the most significant differences between White/Caucasian and Immigrants from Latin America communities in the United States are seen in disability age under 5 (1.7% compared to 1.2%, a difference of 35.9%), hearing disability (3.7% compared to 2.8%, a difference of 29.9%), and disability age 18 to 34 (7.6% compared to 6.3%, a difference of 21.9%). Conversely, both communities are more comparable in terms of vision disability (2.4% compared to 2.4%, a difference of 2.1%), cognitive disability (17.0% compared to 17.6%, a difference of 3.4%), and self-care disability (2.6% compared to 2.7%, a difference of 3.7%).