Immigrants from Congo vs Immigrants from Guyana Community Comparison

The statistical analysis conducted on geographies consisting of 62,885,286 people shows a slight positive correlation between the proportion of Immigrants from Guyana within Immigrant from Congo communities in the United States with a correlation coefficient (R) of 0.078. On average, for every 1% (one percent) increase in Immigrants from Congo within a typical geography, there is an increase of 0.033% in Immigrants from Guyana. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Congo corresponds to an increase of 32.9 Immigrants from Guyana.

When considering income, the most significant differences between Immigrants from Congo and Immigrants from Guyana communities in the United States are seen in householder income under 25 years ($43,266 compared to $55,726, a difference of 28.8%), householder income ages 25 - 44 years ($72,178 compared to $89,586, a difference of 24.1%), and median household income ($66,768 compared to $80,324, a difference of 20.3%). Conversely, both communities are more comparable in terms of householder income over 65 years ($51,393 compared to $56,495, a difference of 9.9%), median family income ($82,216 compared to $92,513, a difference of 12.5%), and median male earnings ($44,204 compared to $50,321, a difference of 13.8%).

When considering poverty, the most significant differences between Immigrants from Congo and Immigrants from Guyana communities in the United States are seen in seniors poverty over the age of 75 (12.5% compared to 16.2%, a difference of 30.0%), female poverty among 18-24 year olds (24.6% compared to 19.3%, a difference of 27.0%), and seniors poverty over the age of 65 (11.7% compared to 14.5%, a difference of 23.4%). Conversely, both communities are more comparable in terms of family poverty (11.9% compared to 11.2%, a difference of 6.0%), single father poverty (15.4% compared to 16.5%, a difference of 7.1%), and married-couple family poverty (6.1% compared to 6.7%, a difference of 8.4%).

When considering unemployment, the most significant differences between Immigrants from Congo and Immigrants from Guyana communities in the United States are seen in unemployment among ages 16 to 19 years (16.3% compared to 25.5%, a difference of 56.7%), unemployment among ages 20 to 24 years (9.2% compared to 13.9%, a difference of 50.8%), and unemployment among youth under 25 years (10.9% compared to 15.9%, a difference of 46.8%). Conversely, both communities are more comparable in terms of unemployment among women with children ages 6 to 17 years (9.0% compared to 8.9%, a difference of 1.4%), unemployment among women with children under 6 years (8.5% compared to 8.2%, a difference of 2.6%), and unemployment among women with children under 18 years (6.0% compared to 6.5%, a difference of 9.2%).

When considering labor participation, the most significant differences between Immigrants from Congo and Immigrants from Guyana communities in the United States are seen in in labor force | age 16-19 (41.7% compared to 27.3%, a difference of 52.9%), in labor force | age 20-24 (77.4% compared to 69.3%, a difference of 11.7%), and in labor force | age > 16 (67.1% compared to 64.0%, a difference of 4.9%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.6% compared to 81.5%, a difference of 0.070%), in labor force | age 35-44 (83.5% compared to 83.6%, a difference of 0.14%), and in labor force | age 30-34 (84.6% compared to 83.8%, a difference of 0.93%).

When considering family structure, the most significant differences between Immigrants from Congo and Immigrants from Guyana communities in the United States are seen in single father households (2.5% compared to 2.1%, a difference of 19.3%), divorced or separated (13.5% compared to 11.6%, a difference of 15.9%), and family households (59.2% compared to 65.5%, a difference of 10.6%). Conversely, both communities are more comparable in terms of currently married (41.1% compared to 41.9%, a difference of 2.0%), family households with children (27.3% compared to 26.3%, a difference of 3.7%), and births to unmarried women (36.8% compared to 35.0%, a difference of 5.2%).

When considering vehicle availability, the most significant differences between Immigrants from Congo 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 193.3%), 4 or more vehicles in household (5.2% compared to 3.4%, a difference of 54.5%), and 3 or more vehicles in household (17.0% compared to 11.2%, a difference of 51.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 70.6%, a difference of 27.6%), 2 or more vehicles in household (52.1% compared to 35.0%, a difference of 48.9%), and 3 or more vehicles in household (17.0% compared to 11.2%, a difference of 51.0%).

When considering education level, the most significant differences between Immigrants from Congo and Immigrants from Guyana communities in the United States are seen in no schooling completed (2.4% compared to 3.1%, a difference of 30.6%), doctorate degree (1.6% compared to 1.3%, a difference of 19.5%), and master's degree (12.6% compared to 13.4%, a difference of 6.4%). Conversely, both communities are more comparable in terms of associate's degree (41.8% compared to 41.8%, a difference of 0.12%), professional degree (3.6% compared to 3.7%, a difference of 0.57%), and 3rd grade (97.3% compared to 96.6%, a difference of 0.74%).

When considering disability, the most significant differences between Immigrants from Congo and Immigrants from Guyana communities in the United States are seen in disability age 18 to 34 (7.1% compared to 5.5%, a difference of 29.8%), hearing disability (2.9% compared to 2.3%, a difference of 25.2%), and disability age 35 to 64 (13.3% compared to 11.1%, a difference of 20.2%). Conversely, both communities are more comparable in terms of disability age under 5 (1.1% compared to 1.0%, a difference of 2.3%), disability age over 75 (48.7% compared to 47.1%, a difference of 3.5%), and female disability (12.7% compared to 12.2%, a difference of 3.5%).