Immigrants from Guyana vs Immigrants from Zimbabwe Community Comparison

The statistical analysis conducted on geographies consisting of 76,695,276 people shows a slight positive correlation between the proportion of Immigrants from Zimbabwe within Immigrant from Guyana communities in the United States with a correlation coefficient (R) of 0.074. On average, for every 1% (one percent) increase in Immigrants from Guyana within a typical geography, there is an increase of 0.005% in Immigrants from Zimbabwe. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Guyana corresponds to an increase of 4.9 Immigrants from Zimbabwe.

When considering income, the most significant differences between Immigrants from Guyana and Immigrants from Zimbabwe communities in the United States are seen in wage/income gap (18.4% compared to 25.3%, a difference of 38.1%), median family income ($92,513 compared to $108,830, a difference of 17.6%), and householder income ages 45 - 64 years ($90,186 compared to $104,992, a difference of 16.4%). Conversely, both communities are more comparable in terms of median female earnings ($40,773 compared to $41,527, a difference of 1.8%), householder income under 25 years ($55,726 compared to $51,914, a difference of 7.3%), and median earnings ($45,204 compared to $48,913, a difference of 8.2%).

When considering poverty, the most significant differences between Immigrants from Guyana and Immigrants from Zimbabwe communities in the United States are seen in receiving food stamps (16.9% compared to 9.9%, a difference of 69.9%), married-couple family poverty (6.7% compared to 4.3%, a difference of 53.1%), and seniors poverty over the age of 65 (14.5% compared to 10.3%, a difference of 40.5%). Conversely, both communities are more comparable in terms of single male poverty (12.7% compared to 12.6%, a difference of 1.1%), single father poverty (16.5% compared to 16.1%, a difference of 2.2%), and female poverty among 18-24 year olds (19.3% compared to 19.8%, a difference of 2.4%).

When considering unemployment, the most significant differences between Immigrants from Guyana and Immigrants from Zimbabwe communities in the United States are seen in unemployment among ages 16 to 19 years (25.5% compared to 16.3%, a difference of 55.9%), unemployment among youth under 25 years (15.9% compared to 10.8%, a difference of 46.9%), and unemployment among ages 20 to 24 years (13.9% compared to 9.5%, a difference of 46.2%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.8% compared to 9.0%, a difference of 2.1%), unemployment among ages 65 to 74 years (5.7% compared to 5.1%, a difference of 11.0%), and unemployment among women with children ages 6 to 17 years (8.9% compared to 8.0%, a difference of 11.1%).

When considering labor participation, the most significant differences between Immigrants from Guyana and Immigrants from Zimbabwe communities in the United States are seen in in labor force | age 16-19 (27.3% compared to 38.0%, a difference of 39.2%), in labor force | age 20-24 (69.3% compared to 75.9%, a difference of 9.5%), and in labor force | age > 16 (64.0% compared to 66.8%, a difference of 4.5%). Conversely, both communities are more comparable in terms of in labor force | age 30-34 (83.8% compared to 85.1%, a difference of 1.6%), in labor force | age 35-44 (83.6% compared to 85.2%, a difference of 1.9%), and in labor force | age 45-54 (81.5% compared to 83.4%, a difference of 2.3%).

When considering family structure, the most significant differences between Immigrants from Guyana and Immigrants from Zimbabwe communities in the United States are seen in single mother households (7.6% compared to 6.2%, a difference of 22.6%), births to unmarried women (35.0% compared to 30.3%, a difference of 15.2%), and married-couple households (41.6% compared to 46.3%, a difference of 11.5%). Conversely, both communities are more comparable in terms of divorced or separated (11.6% compared to 11.9%, a difference of 2.4%), family households (65.5% compared to 63.5%, a difference of 3.2%), and family households with children (26.3% compared to 27.8%, a difference of 5.7%).

When considering vehicle availability, the most significant differences between Immigrants from Guyana and Immigrants from Zimbabwe communities in the United States are seen in no vehicles in household (29.5% compared to 9.9%, a difference of 199.2%), 4 or more vehicles in household (3.4% compared to 6.0%, a difference of 78.0%), and 3 or more vehicles in household (11.2% compared to 19.1%, a difference of 70.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (70.6% compared to 90.2%, a difference of 27.8%), 2 or more vehicles in household (35.0% compared to 55.6%, a difference of 58.8%), and 3 or more vehicles in household (11.2% compared to 19.1%, a difference of 70.0%).

When considering education level, the most significant differences between Immigrants from Guyana and Immigrants from Zimbabwe communities in the United States are seen in no schooling completed (3.1% compared to 1.9%, a difference of 67.3%), doctorate degree (1.3% compared to 2.2%, a difference of 63.8%), and professional degree (3.7% compared to 5.3%, a difference of 43.9%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 98.2%, a difference of 1.3%), kindergarten (96.8% compared to 98.2%, a difference of 1.4%), and 1st grade (96.8% compared to 98.1%, a difference of 1.4%).

When considering disability, the most significant differences between Immigrants from Guyana and Immigrants from Zimbabwe communities in the United States are seen in hearing disability (2.3% compared to 3.0%, a difference of 27.4%), self-care disability (2.8% compared to 2.3%, a difference of 22.9%), and disability age 18 to 34 (5.5% compared to 6.7%, a difference of 21.8%). Conversely, both communities are more comparable in terms of disability age over 75 (47.1% compared to 47.2%, a difference of 0.20%), cognitive disability (17.3% compared to 17.5%, a difference of 1.3%), and disability (11.4% compared to 11.2%, a difference of 2.0%).