Immigrants from Serbia vs Immigrants from Guyana Community Comparison

The statistical analysis conducted on geographies consisting of 80,926,706 people shows a significant positive correlation between the proportion of Immigrants from Guyana within Immigrant from Serbia communities in the United States with a correlation coefficient (R) of 0.658. On average, for every 1% (one percent) increase in Immigrants from Serbia within a typical geography, there is an increase of 0.826% in Immigrants from Guyana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Serbia corresponds to an increase of 825.8 Immigrants from Guyana.

When considering income, the most significant differences between Immigrants from Serbia and Immigrants from Guyana communities in the United States are seen in wage/income gap (26.0% compared to 18.4%, a difference of 41.8%), per capita income ($50,810 compared to $40,742, a difference of 24.7%), and median family income ($113,463 compared to $92,513, a difference of 22.7%). Conversely, both communities are more comparable in terms of householder income under 25 years ($53,321 compared to $55,726, a difference of 4.5%), median female earnings ($43,385 compared to $40,773, a difference of 6.4%), and householder income over 65 years ($63,387 compared to $56,495, a difference of 12.2%).

When considering poverty, the most significant differences between Immigrants from Serbia and Immigrants from Guyana communities in the United States are seen in receiving food stamps (9.9% compared to 16.9%, a difference of 71.4%), married-couple family poverty (4.4% compared to 6.7%, a difference of 49.7%), and family poverty (7.7% compared to 11.2%, a difference of 45.4%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (19.2% compared to 19.3%, a difference of 0.54%), single father poverty (15.5% compared to 16.5%, a difference of 6.0%), and single mother poverty (26.9% compared to 29.8%, a difference of 10.7%).

When considering unemployment, the most significant differences between Immigrants from Serbia and Immigrants from Guyana communities in the United States are seen in unemployment among ages 20 to 24 years (9.8% compared to 13.9%, a difference of 42.4%), unemployment among youth under 25 years (11.3% compared to 15.9%, a difference of 41.4%), and unemployment among ages 16 to 19 years (18.1% compared to 25.5%, a difference of 41.0%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.6% compared to 8.9%, a difference of 3.7%), unemployment among ages 65 to 74 years (5.3% compared to 5.7%, a difference of 6.9%), and unemployment among seniors over 75 years (8.2% compared to 8.8%, a difference of 8.1%).

When considering labor participation, the most significant differences between Immigrants from Serbia and Immigrants from Guyana communities in the United States are seen in in labor force | age 16-19 (36.0% compared to 27.3%, a difference of 31.9%), in labor force | age 20-24 (75.8% compared to 69.3%, a difference of 9.5%), and in labor force | age 20-64 (80.8% compared to 78.1%, a difference of 3.5%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (85.5% compared to 83.6%, a difference of 2.3%), in labor force | age 30-34 (86.2% compared to 83.8%, a difference of 2.9%), and in labor force | age 45-54 (83.9% compared to 81.5%, a difference of 2.9%).

When considering family structure, the most significant differences between Immigrants from Serbia and Immigrants from Guyana communities in the United States are seen in single mother households (5.4% compared to 7.6%, a difference of 41.2%), births to unmarried women (28.3% compared to 35.0%, a difference of 23.6%), and currently married (47.0% compared to 41.9%, a difference of 12.1%). Conversely, both communities are more comparable in terms of divorced or separated (11.6% compared to 11.6%, a difference of 0.17%), family households with children (25.5% compared to 26.3%, a difference of 3.5%), and single father households (2.0% compared to 2.1%, a difference of 5.1%).

When considering vehicle availability, the most significant differences between Immigrants from Serbia and Immigrants from Guyana communities in the United States are seen in no vehicles in household (11.9% compared to 29.5%, a difference of 148.1%), 4 or more vehicles in household (5.0% compared to 3.4%, a difference of 47.8%), and 2 or more vehicles in household (51.3% compared to 35.0%, a difference of 46.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.2% compared to 70.6%, a difference of 24.9%), 3 or more vehicles in household (16.4% compared to 11.2%, a difference of 46.2%), and 2 or more vehicles in household (51.3% compared to 35.0%, a difference of 46.6%).

When considering education level, the most significant differences between Immigrants from Serbia and Immigrants from Guyana communities in the United States are seen in doctorate degree (2.3% compared to 1.3%, a difference of 75.4%), no schooling completed (1.9% compared to 3.1%, a difference of 66.7%), and professional degree (5.8% compared to 3.7%, a difference of 58.6%). Conversely, both communities are more comparable in terms of nursery school (98.2% compared to 96.9%, a difference of 1.3%), kindergarten (98.1% compared to 96.8%, a difference of 1.3%), and 1st grade (98.1% compared to 96.8%, a difference of 1.3%).

When considering disability, the most significant differences between Immigrants from Serbia and Immigrants from Guyana communities in the United States are seen in hearing disability (3.0% compared to 2.3%, a difference of 29.1%), self-care disability (2.3% compared to 2.8%, a difference of 20.2%), and ambulatory disability (5.8% compared to 6.7%, a difference of 15.6%). Conversely, both communities are more comparable in terms of male disability (10.5% compared to 10.6%, a difference of 0.82%), disability (11.0% compared to 11.4%, a difference of 3.6%), and cognitive disability (16.7% compared to 17.3%, a difference of 3.9%).