Immigrants from Malaysia vs Immigrants from Guyana Community Comparison

The statistical analysis conducted on geographies consisting of 105,888,306 people shows no correlation between the proportion of Immigrants from Guyana within Immigrant from Malaysia communities in the United States with a correlation coefficient (R) of -0.017. On average, for every 1% (one percent) increase in Immigrants from Malaysia within a typical geography, there is a decrease of 0.026% in Immigrants from Guyana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Malaysia corresponds to a decrease of 26.5 Immigrants from Guyana.

When considering income, the most significant differences between Immigrants from Malaysia and Immigrants from Guyana communities in the United States are seen in wage/income gap (26.3% compared to 18.4%, a difference of 43.3%), median family income ($115,880 compared to $92,513, a difference of 25.3%), and householder income ages 45 - 64 years ($112,796 compared to $90,186, a difference of 25.1%). Conversely, both communities are more comparable in terms of householder income under 25 years ($54,179 compared to $55,726, a difference of 2.9%), median female earnings ($43,835 compared to $40,773, a difference of 7.5%), and householder income over 65 years ($65,497 compared to $56,495, a difference of 15.9%).

When considering poverty, the most significant differences between Immigrants from Malaysia and Immigrants from Guyana communities in the United States are seen in receiving food stamps (10.4% compared to 16.9%, a difference of 62.9%), family poverty (8.5% compared to 11.2%, a difference of 32.7%), and seniors poverty over the age of 65 (11.0% compared to 14.5%, a difference of 32.0%). Conversely, both communities are more comparable in terms of female poverty among 18-24 year olds (20.5% compared to 19.3%, a difference of 5.9%), single male poverty (12.0% compared to 12.7%, a difference of 6.3%), and single female poverty (19.4% compared to 21.0%, a difference of 8.2%).

When considering unemployment, the most significant differences between Immigrants from Malaysia and Immigrants from Guyana communities in the United States are seen in unemployment among ages 16 to 19 years (17.2% compared to 25.5%, a difference of 47.7%), unemployment among ages 30 to 34 years (5.1% compared to 7.2%, a difference of 41.9%), and unemployment among youth under 25 years (11.3% compared to 15.9%, a difference of 41.2%). Conversely, both communities are more comparable in terms of unemployment among ages 65 to 74 years (5.2% compared to 5.7%, a difference of 8.0%), unemployment among women with children ages 6 to 17 years (8.2% compared to 8.9%, a difference of 9.0%), and unemployment among ages 60 to 64 years (4.9% compared to 5.4%, a difference of 11.1%).

When considering labor participation, the most significant differences between Immigrants from Malaysia and Immigrants from Guyana communities in the United States are seen in in labor force | age 16-19 (34.3% compared to 27.3%, a difference of 25.7%), in labor force | age 20-24 (73.3% compared to 69.3%, a difference of 5.9%), and in labor force | age > 16 (66.1% compared to 64.0%, a difference of 3.4%). Conversely, both communities are more comparable in terms of in labor force | age 35-44 (84.6% compared to 83.6%, a difference of 1.2%), in labor force | age 30-34 (85.1% compared to 83.8%, a difference of 1.6%), and in labor force | age 45-54 (83.2% compared to 81.5%, a difference of 2.1%).

When considering family structure, the most significant differences between Immigrants from Malaysia and Immigrants from Guyana communities in the United States are seen in single mother households (5.7% compared to 7.6%, a difference of 33.6%), births to unmarried women (27.4% compared to 35.0%, a difference of 27.8%), and married-couple households (47.2% compared to 41.6%, a difference of 13.6%). Conversely, both communities are more comparable in terms of family households (64.0% compared to 65.5%, a difference of 2.4%), single father households (2.0% compared to 2.1%, a difference of 3.7%), and average family size (3.22 compared to 3.40, a difference of 5.6%).

When considering vehicle availability, the most significant differences between Immigrants from Malaysia and Immigrants from Guyana communities in the United States are seen in no vehicles in household (13.6% compared to 29.5%, a difference of 117.1%), 4 or more vehicles in household (5.9% compared to 3.4%, a difference of 73.7%), and 3 or more vehicles in household (18.3% compared to 11.2%, a difference of 62.7%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (86.5% compared to 70.6%, a difference of 22.5%), 2 or more vehicles in household (52.7% compared to 35.0%, a difference of 50.4%), and 3 or more vehicles in household (18.3% compared to 11.2%, a difference of 62.7%).

When considering education level, the most significant differences between Immigrants from Malaysia and Immigrants from Guyana communities in the United States are seen in doctorate degree (2.6% compared to 1.3%, a difference of 92.2%), professional degree (5.7% compared to 3.7%, a difference of 55.9%), and master's degree (18.9% compared to 13.4%, a difference of 40.7%). Conversely, both communities are more comparable in terms of nursery school (97.7% compared to 96.9%, a difference of 0.82%), kindergarten (97.7% compared to 96.8%, a difference of 0.85%), and 1st grade (97.6% compared to 96.8%, a difference of 0.86%).

When considering disability, the most significant differences between Immigrants from Malaysia and Immigrants from Guyana communities in the United States are seen in ambulatory disability (5.5% compared to 6.7%, a difference of 22.5%), self-care disability (2.3% compared to 2.8%, a difference of 20.6%), and hearing disability (2.7% compared to 2.3%, a difference of 18.1%). Conversely, both communities are more comparable in terms of cognitive disability (17.1% compared to 17.3%, a difference of 1.2%), disability age over 75 (46.4% compared to 47.1%, a difference of 1.5%), and disability age under 5 (1.1% compared to 1.0%, a difference of 5.0%).