Immigrants from Congo vs Immigrants from Fiji Community Comparison

The statistical analysis conducted on geographies consisting of 41,622,395 people shows a poor positive correlation between the proportion of Immigrants from Fiji within Immigrant from Congo communities in the United States with a correlation coefficient (R) of 0.106. On average, for every 1% (one percent) increase in Immigrants from Congo within a typical geography, there is an increase of 0.056% in Immigrants from Fiji. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Congo corresponds to an increase of 56.0 Immigrants from Fiji.

When considering income, the most significant differences between Immigrants from Congo and Immigrants from Fiji communities in the United States are seen in householder income ages 25 - 44 years ($72,178 compared to $103,954, a difference of 44.0%), median household income ($66,768 compared to $93,933, a difference of 40.7%), and householder income ages 45 - 64 years ($77,850 compared to $106,952, a difference of 37.4%). Conversely, both communities are more comparable in terms of wage/income gap (21.7% compared to 22.4%, a difference of 3.3%), per capita income ($35,720 compared to $42,694, a difference of 19.5%), and median female earnings ($34,317 compared to $41,656, a difference of 21.4%).

When considering poverty, the most significant differences between Immigrants from Congo and Immigrants from Fiji communities in the United States are seen in child poverty under the age of 5 (23.9% compared to 15.2%, a difference of 57.6%), child poverty under the age of 16 (22.5% compared to 15.8%, a difference of 42.9%), and child poverty among girls under 16 (22.7% compared to 15.9%, a difference of 42.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (12.5% compared to 12.2%, a difference of 2.5%), seniors poverty over the age of 65 (11.7% compared to 11.0%, a difference of 6.4%), and married-couple family poverty (6.1% compared to 5.6%, a difference of 9.3%).

When considering unemployment, the most significant differences between Immigrants from Congo and Immigrants from Fiji communities in the United States are seen in unemployment among seniors over 75 years (6.7% compared to 10.0%, a difference of 48.8%), unemployment among women with children ages 6 to 17 years (9.0% compared to 7.3%, a difference of 24.2%), and unemployment among ages 60 to 64 years (4.1% compared to 5.1%, a difference of 22.4%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (6.0% compared to 5.7%, a difference of 4.6%), female unemployment (5.3% compared to 5.8%, a difference of 9.1%), and unemployment among ages 16 to 19 years (16.3% compared to 17.8%, a difference of 9.3%).

When considering labor participation, the most significant differences between Immigrants from Congo and Immigrants from Fiji communities in the United States are seen in in labor force | age 16-19 (41.7% compared to 33.9%, a difference of 22.9%), in labor force | age 20-24 (77.4% compared to 74.3%, a difference of 4.2%), and in labor force | age > 16 (67.1% compared to 65.0%, a difference of 3.2%). Conversely, both communities are more comparable in terms of in labor force | age 45-54 (81.6% compared to 81.5%, a difference of 0.010%), in labor force | age 35-44 (83.5% compared to 83.2%, a difference of 0.33%), and in labor force | age 25-29 (84.2% compared to 83.6%, a difference of 0.79%).

When considering family structure, the most significant differences between Immigrants from Congo and Immigrants from Fiji communities in the United States are seen in births to unmarried women (36.8% compared to 29.2%, a difference of 26.1%), married-couple households (39.0% compared to 48.2%, a difference of 23.6%), and single mother households (8.1% compared to 6.7%, a difference of 21.9%). Conversely, both communities are more comparable in terms of average family size (3.23 compared to 3.45, a difference of 6.9%), single father households (2.5% compared to 2.7%, a difference of 7.5%), and family households with children (27.3% compared to 30.5%, a difference of 11.8%).

When considering vehicle availability, the most significant differences between Immigrants from Congo and Immigrants from Fiji communities in the United States are seen in 4 or more vehicles in household (5.2% compared to 9.6%, a difference of 83.4%), 3 or more vehicles in household (17.0% compared to 26.1%, a difference of 53.5%), and no vehicles in household (10.1% compared to 7.8%, a difference of 28.5%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.0% compared to 92.2%, a difference of 2.4%), 2 or more vehicles in household (52.1% compared to 62.3%, a difference of 19.6%), and no vehicles in household (10.1% compared to 7.8%, a difference of 28.5%).

When considering education level, the most significant differences between Immigrants from Congo and Immigrants from Fiji communities in the United States are seen in no schooling completed (2.4% compared to 3.5%, a difference of 46.8%), college, under 1 year (61.7% compared to 63.4%, a difference of 2.8%), and professional degree (3.6% compared to 3.7%, a difference of 2.6%). Conversely, both communities are more comparable in terms of ged/equivalency (83.1% compared to 82.7%, a difference of 0.43%), bachelor's degree (33.6% compared to 33.7%, a difference of 0.45%), and 12th grade, no diploma (89.0% compared to 88.6%, a difference of 0.46%).

When considering disability, the most significant differences between Immigrants from Congo and Immigrants from Fiji communities in the United States are seen in disability age 5 to 17 (6.2% compared to 5.1%, a difference of 21.2%), disability age 35 to 64 (13.3% compared to 11.3%, a difference of 18.1%), and self-care disability (2.4% compared to 2.8%, a difference of 18.1%). Conversely, both communities are more comparable in terms of hearing disability (2.9% compared to 2.9%, a difference of 1.5%), ambulatory disability (6.2% compared to 6.0%, a difference of 3.2%), and female disability (12.7% compared to 12.3%, a difference of 3.3%).