Immigrants from Latin America vs White/Caucasian Community Comparison

The statistical analysis conducted on geographies consisting of 558,674,126 people shows a weak negative correlation between the proportion of Whites/Caucasians within Immigrant from Latin America communities in the United States with a correlation coefficient (R) of -0.237. On average, for every 1% (one percent) increase in Immigrants from Latin America within a typical geography, there is a decrease of 0.148% in Whites/Caucasians. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Latin America corresponds to a decrease of 148.5 Whites/Caucasians.

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

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

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

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

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

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

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

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