Immigrants from Guyana vs Immigrants from Nepal Community Comparison

The statistical analysis conducted on geographies consisting of 101,690,130 people shows a slight positive correlation between the proportion of Immigrants from Nepal within Immigrant from Guyana communities in the United States with a correlation coefficient (R) of 0.078. On average, for every 1% (one percent) increase in Immigrants from Guyana within a typical geography, there is an increase of 0.002% in Immigrants from Nepal. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Guyana corresponds to an increase of 1.7 Immigrants from Nepal.

When considering income, the most significant differences between Immigrants from Guyana and Immigrants from Nepal communities in the United States are seen in wage/income gap (18.4% compared to 24.9%, a difference of 35.5%), median family income ($92,513 compared to $104,966, a difference of 13.5%), and householder income ages 45 - 64 years ($90,186 compared to $102,190, a difference of 13.3%). Conversely, both communities are more comparable in terms of median female earnings ($40,773 compared to $40,704, a difference of 0.17%), householder income under 25 years ($55,726 compared to $52,611, a difference of 5.9%), and median earnings ($45,204 compared to $47,925, a difference of 6.0%).

When considering poverty, the most significant differences between Immigrants from Guyana and Immigrants from Nepal communities in the United States are seen in receiving food stamps (16.9% compared to 10.6%, a difference of 60.1%), seniors poverty over the age of 65 (14.5% compared to 10.1%, a difference of 43.5%), and married-couple family poverty (6.7% compared to 4.7%, a difference of 40.3%). Conversely, both communities are more comparable in terms of single female poverty (21.0% compared to 20.3%, a difference of 3.6%), single mother poverty (29.8% compared to 27.9%, a difference of 6.6%), and female poverty among 18-24 year olds (19.3% compared to 20.7%, a difference of 6.8%).

When considering unemployment, the most significant differences between Immigrants from Guyana and Immigrants from Nepal communities in the United States are seen in unemployment among ages 16 to 19 years (25.5% compared to 16.3%, a difference of 56.2%), unemployment among ages 30 to 34 years (7.2% compared to 4.7%, a difference of 54.3%), and unemployment among ages 20 to 24 years (13.9% compared to 9.4%, a difference of 47.9%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (8.8% compared to 8.3%, a difference of 6.0%), unemployment among women with children ages 6 to 17 years (8.9% compared to 8.3%, a difference of 7.1%), and unemployment among ages 65 to 74 years (5.7% compared to 4.9%, a difference of 15.3%).

When considering labor participation, the most significant differences between Immigrants from Guyana and Immigrants from Nepal communities in the United States are seen in in labor force | age 16-19 (27.3% compared to 38.3%, a difference of 40.6%), in labor force | age 20-24 (69.3% compared to 76.0%, a difference of 9.8%), and in labor force | age > 16 (64.0% compared to 68.0%, a difference of 6.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (83.6% compared to 85.3%, a difference of 2.0%), in labor force | age 30-34 (83.8% compared to 85.6%, a difference of 2.2%), and in labor force | age 45-54 (81.5% compared to 84.0%, a difference of 3.1%).

When considering family structure, the most significant differences between Immigrants from Guyana and Immigrants from Nepal communities in the United States are seen in births to unmarried women (35.0% compared to 29.6%, a difference of 18.2%), single mother households (7.6% compared to 6.4%, a difference of 18.0%), and currently married (41.9% compared to 46.1%, a difference of 10.2%). Conversely, both communities are more comparable in terms of divorced or separated (11.6% compared to 11.6%, a difference of 0.55%), family households (65.5% compared to 62.7%, a difference of 4.5%), and single father households (2.1% compared to 2.2%, a difference of 5.3%).

When considering vehicle availability, the most significant differences between Immigrants from Guyana and Immigrants from Nepal communities in the United States are seen in no vehicles in household (29.5% compared to 10.5%, a difference of 180.6%), 4 or more vehicles in household (3.4% compared to 5.6%, a difference of 63.9%), and 3 or more vehicles in household (11.2% compared to 17.6%, a difference of 56.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (70.6% compared to 89.5%, a difference of 26.9%), 2 or more vehicles in household (35.0% compared to 53.5%, a difference of 52.9%), and 3 or more vehicles in household (11.2% compared to 17.6%, a difference of 56.8%).

When considering education level, the most significant differences between Immigrants from Guyana and Immigrants from Nepal communities in the United States are seen in doctorate degree (1.3% compared to 2.2%, a difference of 63.2%), no schooling completed (3.1% compared to 2.3%, a difference of 36.9%), and professional degree (3.7% compared to 4.8%, a difference of 30.6%). Conversely, both communities are more comparable in terms of nursery school (96.9% compared to 97.7%, a difference of 0.87%), kindergarten (96.8% compared to 97.7%, a difference of 0.89%), and 1st grade (96.8% compared to 97.7%, a difference of 0.91%).

When considering disability, the most significant differences between Immigrants from Guyana and Immigrants from Nepal communities in the United States are seen in self-care disability (2.8% compared to 2.2%, a difference of 27.8%), ambulatory disability (6.7% compared to 5.4%, a difference of 24.4%), and hearing disability (2.3% compared to 2.7%, a difference of 16.9%). Conversely, both communities are more comparable in terms of disability age under 5 (1.0% compared to 1.0%, a difference of 0.11%), disability age over 75 (47.1% compared to 46.6%, a difference of 1.0%), and male disability (10.6% compared to 10.3%, a difference of 3.2%).