Subsaharan African vs Immigrants from Oceania Community Comparison

The statistical analysis conducted on geographies consisting of 295,462,634 people shows a poor positive correlation between the proportion of Immigrants from Oceania within Subsaharan African communities in the United States with a correlation coefficient (R) of 0.135. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is an increase of 0.002% in Immigrants from Oceania. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sub-Saharan Africans corresponds to an increase of 2.3 Immigrants from Oceania.

When considering income, the most significant differences between Subsaharan African and Immigrants from Oceania communities in the United States are seen in householder income ages 25 - 44 years ($84,235 compared to $97,623, a difference of 15.9%), median household income ($77,631 compared to $89,100, a difference of 14.8%), and householder income ages 45 - 64 years ($90,691 compared to $103,705, a difference of 14.3%). Conversely, both communities are more comparable in terms of median female earnings ($38,391 compared to $40,297, a difference of 5.0%), median earnings ($44,118 compared to $47,617, a difference of 7.9%), and householder income under 25 years ($48,691 compared to $53,680, a difference of 10.2%).

When considering poverty, the most significant differences between Subsaharan African and Immigrants from Oceania communities in the United States are seen in child poverty under the age of 16 (19.9% compared to 15.9%, a difference of 25.2%), child poverty among girls under 16 (20.1% compared to 16.1%, a difference of 24.9%), and child poverty among boys under 16 (20.0% compared to 16.0%, a difference of 24.8%). Conversely, both communities are more comparable in terms of single mother poverty (31.4% compared to 28.7%, a difference of 9.3%), single father poverty (16.9% compared to 15.4%, a difference of 9.6%), and single male poverty (13.7% compared to 12.4%, a difference of 10.4%).

When considering unemployment, the most significant differences between Subsaharan African and Immigrants from Oceania communities in the United States are seen in unemployment among women with children ages 6 to 17 years (10.0% compared to 8.1%, a difference of 23.7%), unemployment among women with children under 18 years (6.2% compared to 5.3%, a difference of 16.6%), and unemployment among ages 25 to 29 years (7.2% compared to 6.4%, a difference of 12.7%). Conversely, both communities are more comparable in terms of unemployment among seniors over 75 years (9.2% compared to 9.0%, a difference of 2.2%), unemployment among seniors over 65 years (5.2% compared to 5.0%, a difference of 4.1%), and unemployment among ages 60 to 64 years (4.9% compared to 4.7%, a difference of 4.5%).

When considering labor participation, the most significant differences between Subsaharan African and Immigrants from Oceania communities in the United States are seen in in labor force | age 16-19 (38.4% compared to 37.9%, a difference of 1.4%), in labor force | age > 16 (66.2% compared to 65.5%, a difference of 1.1%), and in labor force | age 20-24 (75.7% compared to 76.1%, a difference of 0.58%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (79.3% compared to 79.3%, a difference of 0.030%), in labor force | age 45-54 (82.0% compared to 82.1%, a difference of 0.16%), and in labor force | age 25-29 (84.3% compared to 84.2%, a difference of 0.17%).

When considering family structure, the most significant differences between Subsaharan African and Immigrants from Oceania communities in the United States are seen in single mother households (7.8% compared to 6.3%, a difference of 24.3%), births to unmarried women (36.7% compared to 30.6%, a difference of 19.9%), and married-couple households (41.6% compared to 46.9%, a difference of 12.8%). Conversely, both communities are more comparable in terms of single father households (2.4% compared to 2.5%, a difference of 0.67%), average family size (3.25 compared to 3.29, a difference of 1.3%), and family households with children (27.6% compared to 28.1%, a difference of 2.0%).

When considering vehicle availability, the most significant differences between Subsaharan African and Immigrants from Oceania communities in the United States are seen in 4 or more vehicles in household (5.7% compared to 7.6%, a difference of 33.6%), no vehicles in household (12.2% compared to 9.7%, a difference of 25.4%), and 3 or more vehicles in household (17.9% compared to 21.8%, a difference of 22.1%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (87.9% compared to 90.4%, a difference of 2.8%), 2 or more vehicles in household (51.9% compared to 57.5%, a difference of 10.9%), and 3 or more vehicles in household (17.9% compared to 21.8%, a difference of 22.1%).

When considering education level, the most significant differences between Subsaharan African and Immigrants from Oceania communities in the United States are seen in professional degree (4.1% compared to 4.6%, a difference of 11.5%), doctorate degree (1.8% compared to 1.9%, a difference of 8.2%), and associate's degree (43.9% compared to 45.8%, a difference of 4.4%). Conversely, both communities are more comparable in terms of 7th grade (95.7% compared to 95.7%, a difference of 0.010%), 8th grade (95.3% compared to 95.3%, a difference of 0.030%), and nursery school (97.7% compared to 97.8%, a difference of 0.090%).

When considering disability, the most significant differences between Subsaharan African and Immigrants from Oceania communities in the United States are seen in disability age 5 to 17 (6.2% compared to 5.4%, a difference of 13.2%), disability age under 5 (1.3% compared to 1.2%, a difference of 12.5%), and disability age 35 to 64 (12.6% compared to 11.4%, a difference of 11.2%). Conversely, both communities are more comparable in terms of disability age over 75 (48.2% compared to 48.0%, a difference of 0.39%), self-care disability (2.6% compared to 2.5%, a difference of 2.7%), and male disability (11.8% compared to 11.4%, a difference of 3.0%).