Immigrants from Micronesia vs Immigrants from Guyana Community Comparison

The statistical analysis conducted on geographies consisting of 38,063,765 people shows a substantial negative correlation between the proportion of Immigrants from Guyana within Immigrant from Micronesia communities in the United States with a correlation coefficient (R) of -0.551. On average, for every 1% (one percent) increase in Immigrants from Micronesia within a typical geography, there is a decrease of 0.218% in Immigrants from Guyana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Micronesia corresponds to a decrease of 218.3 Immigrants from Guyana.

When considering income, the most significant differences between Immigrants from Micronesia and Immigrants from Guyana communities in the United States are seen in wage/income gap (24.4% compared to 18.4%, a difference of 33.2%), median female earnings ($35,477 compared to $40,773, a difference of 14.9%), and householder income ages 25 - 44 years ($80,544 compared to $89,586, a difference of 11.2%). Conversely, both communities are more comparable in terms of median family income ($90,345 compared to $92,513, a difference of 2.4%), householder income ages 45 - 64 years ($87,864 compared to $90,186, a difference of 2.6%), and median household income ($75,574 compared to $80,324, a difference of 6.3%).

When considering poverty, the most significant differences between Immigrants from Micronesia and Immigrants from Guyana communities in the United States are seen in seniors poverty over the age of 75 (11.4% compared to 16.2%, a difference of 42.3%), seniors poverty over the age of 65 (10.7% compared to 14.5%, a difference of 34.9%), and receiving food stamps (13.5% compared to 16.9%, a difference of 25.1%). Conversely, both communities are more comparable in terms of child poverty under the age of 5 (19.4% compared to 19.6%, a difference of 1.4%), single mother poverty (31.6% compared to 29.8%, a difference of 6.0%), and single male poverty (13.5% compared to 12.7%, a difference of 6.4%).

When considering unemployment, the most significant differences between Immigrants from Micronesia and Immigrants from Guyana communities in the United States are seen in unemployment among ages 16 to 19 years (17.6% compared to 25.5%, a difference of 44.5%), unemployment among youth under 25 years (11.4% compared to 15.9%, a difference of 40.2%), and unemployment among ages 20 to 24 years (10.0% compared to 13.9%, a difference of 39.3%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (8.9% compared to 8.9%, a difference of 0.18%), unemployment among seniors over 75 years (8.8% compared to 8.8%, a difference of 0.43%), and unemployment among ages 65 to 74 years (5.6% compared to 5.7%, a difference of 1.6%).

When considering labor participation, the most significant differences between Immigrants from Micronesia and Immigrants from Guyana communities in the United States are seen in in labor force | age 16-19 (40.2% compared to 27.3%, a difference of 47.3%), in labor force | age 20-24 (77.8% compared to 69.3%, a difference of 12.3%), and in labor force | age 30-34 (82.4% compared to 83.8%, a difference of 1.7%). Conversely, both communities are more comparable in terms of in labor force | age 25-29 (83.0% compared to 83.0%, a difference of 0.050%), in labor force | age 45-54 (81.1% compared to 81.5%, a difference of 0.48%), and in labor force | age 35-44 (83.1% compared to 83.6%, a difference of 0.60%).

When considering family structure, the most significant differences between Immigrants from Micronesia and Immigrants from Guyana communities in the United States are seen in single father households (2.6% compared to 2.1%, a difference of 21.1%), single mother households (6.9% compared to 7.6%, a difference of 9.9%), and divorced or separated (12.7% compared to 11.6%, a difference of 9.1%). Conversely, both communities are more comparable in terms of family households (64.2% compared to 65.5%, a difference of 2.0%), average family size (3.32 compared to 3.40, a difference of 2.5%), and family households with children (27.2% compared to 26.3%, a difference of 3.4%).

When considering vehicle availability, the most significant differences between Immigrants from Micronesia and Immigrants from Guyana communities in the United States are seen in no vehicles in household (10.1% compared to 29.5%, a difference of 192.3%), 4 or more vehicles in household (7.6% compared to 3.4%, a difference of 122.8%), and 3 or more vehicles in household (20.7% compared to 11.2%, a difference of 84.6%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 70.6%, a difference of 27.7%), 2 or more vehicles in household (55.1% compared to 35.0%, a difference of 57.4%), and 3 or more vehicles in household (20.7% compared to 11.2%, a difference of 84.6%).

When considering education level, the most significant differences between Immigrants from Micronesia and Immigrants from Guyana communities in the United States are seen in no schooling completed (2.1% compared to 3.1%, a difference of 49.3%), master's degree (10.8% compared to 13.4%, a difference of 24.9%), and professional degree (3.2% compared to 3.7%, a difference of 13.2%). Conversely, both communities are more comparable in terms of doctorate degree (1.3% compared to 1.3%, a difference of 1.0%), nursery school (98.0% compared to 96.9%, a difference of 1.1%), and kindergarten (98.0% compared to 96.8%, a difference of 1.2%).

When considering disability, the most significant differences between Immigrants from Micronesia and Immigrants from Guyana communities in the United States are seen in hearing disability (3.6% compared to 2.3%, a difference of 56.9%), disability age 18 to 34 (7.3% compared to 5.5%, a difference of 32.9%), and male disability (12.9% compared to 10.6%, a difference of 22.1%). Conversely, both communities are more comparable in terms of self-care disability (2.7% compared to 2.8%, a difference of 3.6%), disability age under 5 (1.0% compared to 1.0%, a difference of 4.0%), and cognitive disability (18.1% compared to 17.3%, a difference of 4.4%).