White/Caucasian vs Immigrants from Guyana Community Comparison

The statistical analysis conducted on geographies consisting of 182,862,788 people shows a substantial negative correlation between the proportion of Immigrants from Guyana within White/Caucasian communities in the United States with a correlation coefficient (R) of -0.531. On average, for every 1% (one percent) increase in Whites/Caucasians within a typical geography, there is a decrease of 0.009% in Immigrants from Guyana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Whites/Caucasians corresponds to a decrease of 8.9 Immigrants from Guyana.

When considering income, the most significant differences between White/Caucasian and Immigrants from Guyana communities in the United States are seen in wage/income gap (28.5% compared to 18.4%, a difference of 55.4%), householder income under 25 years ($50,336 compared to $55,726, a difference of 10.7%), and householder income ages 45 - 64 years ($98,091 compared to $90,186, a difference of 8.8%). Conversely, both communities are more comparable in terms of median earnings ($45,197 compared to $45,204, a difference of 0.020%), median household income ($82,029 compared to $80,324, a difference of 2.1%), and householder income ages 25 - 44 years ($91,668 compared to $89,586, a difference of 2.3%).

When considering poverty, the most significant differences between White/Caucasian and Immigrants from Guyana communities in the United States are seen in receiving food stamps (11.1% compared to 16.9%, a difference of 52.9%), seniors poverty over the age of 65 (10.0% compared to 14.5%, a difference of 43.9%), and seniors poverty over the age of 75 (11.4% compared to 16.2%, a difference of 41.9%). Conversely, both communities are more comparable in terms of female poverty among 25-34 year olds (14.7% compared to 14.3%, a difference of 2.7%), single mother poverty (31.2% compared to 29.8%, a difference of 4.7%), and female poverty among 18-24 year olds (20.8% compared to 19.3%, a difference of 7.4%).

When considering unemployment, the most significant differences between White/Caucasian and Immigrants from Guyana communities in the United States are seen in unemployment among ages 16 to 19 years (16.8% compared to 25.5%, a difference of 51.5%), unemployment among youth under 25 years (11.2% compared to 15.9%, a difference of 42.3%), and male unemployment (5.0% compared to 7.1%, a difference of 41.7%). Conversely, both communities are more comparable in terms of unemployment among women with children under 6 years (8.4% compared to 8.2%, a difference of 1.4%), unemployment among ages 65 to 74 years (5.4% compared to 5.7%, a difference of 5.8%), and unemployment among women with children ages 6 to 17 years (9.6% compared to 8.9%, a difference of 8.1%).

When considering labor participation, the most significant differences between White/Caucasian and Immigrants from Guyana communities in the United States are seen in in labor force | age 16-19 (41.3% compared to 27.3%, a difference of 51.5%), in labor force | age 20-24 (76.9% compared to 69.3%, a difference of 11.1%), and in labor force | age 25-29 (84.2% compared to 83.0%, a difference of 1.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.6% compared to 83.6%, a difference of 0.020%), in labor force | age 30-34 (83.9% compared to 83.8%, a difference of 0.14%), and in labor force | age 45-54 (81.9% compared to 81.5%, a difference of 0.43%).

When considering family structure, the most significant differences between White/Caucasian and Immigrants from Guyana communities in the United States are seen in single mother households (6.1% compared to 7.6%, a difference of 23.8%), married-couple households (48.6% compared to 41.6%, a difference of 16.9%), and currently married (48.6% compared to 41.9%, a difference of 16.1%). Conversely, both communities are more comparable in terms of family households (65.1% compared to 65.5%, a difference of 0.68%), family households with children (27.4% compared to 26.3%, a difference of 4.2%), and births to unmarried women (33.3% compared to 35.0%, a difference of 5.1%).

When considering vehicle availability, the most significant differences between White/Caucasian and Immigrants from Guyana communities in the United States are seen in no vehicles in household (7.0% compared to 29.5%, a difference of 319.2%), 4 or more vehicles in household (7.4% compared to 3.4%, a difference of 116.7%), and 3 or more vehicles in household (22.6% compared to 11.2%, a difference of 100.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (93.1% compared to 70.6%, a difference of 31.9%), 2 or more vehicles in household (60.8% compared to 35.0%, a difference of 73.8%), and 3 or more vehicles in household (22.6% compared to 11.2%, a difference of 100.9%).

When considering education level, the most significant differences between White/Caucasian and Immigrants from Guyana communities in the United States are seen in no schooling completed (1.6% compared to 3.1%, a difference of 91.4%), doctorate degree (1.8% compared to 1.3%, a difference of 31.7%), and professional degree (4.1% compared to 3.7%, a difference of 11.2%). Conversely, both communities are more comparable in terms of nursery school (98.5% compared to 96.9%, a difference of 1.6%), kindergarten (98.4% compared to 96.8%, a difference of 1.6%), and 1st grade (98.4% compared to 96.8%, a difference of 1.7%).

When considering disability, the most significant differences between White/Caucasian and Immigrants from Guyana communities in the United States are seen in hearing disability (3.7% compared to 2.3%, a difference of 58.9%), disability age under 5 (1.7% compared to 1.0%, a difference of 58.9%), and disability age 18 to 34 (7.6% compared to 5.5%, a difference of 39.4%). Conversely, both communities are more comparable in terms of ambulatory disability (6.7% compared to 6.7%, a difference of 0.31%), disability age over 75 (47.3% compared to 47.1%, a difference of 0.53%), and cognitive disability (17.0% compared to 17.3%, a difference of 2.0%).