Immigrants from Micronesia vs Subsaharan African Community Comparison

The statistical analysis conducted on geographies consisting of 60,795,497 people shows a mild negative correlation between the proportion of Sub-Saharan Africans within Immigrant from Micronesia communities in the United States with a correlation coefficient (R) of -0.360. On average, for every 1% (one percent) increase in Immigrants from Micronesia within a typical geography, there is a decrease of 0.173% in Sub-Saharan Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Micronesia corresponds to a decrease of 172.9 Sub-Saharan Africans.

When considering income, the most significant differences between Immigrants from Micronesia and Subsaharan African communities in the United States are seen in median female earnings ($35,477 compared to $38,391, a difference of 8.2%), householder income over 65 years ($61,000 compared to $56,615, a difference of 7.7%), and median earnings ($41,133 compared to $44,118, a difference of 7.3%). Conversely, both communities are more comparable in terms of median household income ($75,574 compared to $77,631, a difference of 2.7%), householder income ages 45 - 64 years ($87,864 compared to $90,691, a difference of 3.2%), and median family income ($90,345 compared to $93,748, a difference of 3.8%).

When considering poverty, the most significant differences between Immigrants from Micronesia and Subsaharan African communities in the United States are seen in seniors poverty over the age of 75 (11.4% compared to 13.2%, a difference of 16.0%), seniors poverty over the age of 65 (10.7% compared to 12.1%, a difference of 12.7%), and child poverty among girls under 16 (18.0% compared to 20.1%, a difference of 11.5%). Conversely, both communities are more comparable in terms of single female poverty (23.0% compared to 23.2%, a difference of 0.66%), single mother poverty (31.6% compared to 31.4%, a difference of 0.68%), and single male poverty (13.5% compared to 13.7%, a difference of 1.2%).

When considering unemployment, the most significant differences between Immigrants from Micronesia and Subsaharan African communities in the United States are seen in unemployment among ages 60 to 64 years (4.2% compared to 4.9%, a difference of 15.8%), unemployment among ages 45 to 54 years (4.3% compared to 4.9%, a difference of 12.3%), and unemployment among women with children ages 6 to 17 years (8.9% compared to 10.0%, a difference of 12.0%). Conversely, both communities are more comparable in terms of unemployment among ages 30 to 34 years (6.0% compared to 6.0%, a difference of 0.020%), unemployment among ages 65 to 74 years (5.6% compared to 5.4%, a difference of 2.4%), and unemployment among seniors over 65 years (5.4% compared to 5.2%, a difference of 3.0%).

When considering labor participation, the most significant differences between Immigrants from Micronesia and Subsaharan African communities in the United States are seen in in labor force | age 16-19 (40.2% compared to 38.4%, a difference of 4.5%), in labor force | age 20-24 (77.8% compared to 75.7%, a difference of 2.8%), and in labor force | age 30-34 (82.4% compared to 84.5%, a difference of 2.5%). Conversely, both communities are more comparable in terms of in labor force | age 20-64 (78.9% compared to 79.3%, a difference of 0.47%), in labor force | age 45-54 (81.1% compared to 82.0%, a difference of 1.1%), and in labor force | age 35-44 (83.1% compared to 84.1%, a difference of 1.1%).

When considering family structure, the most significant differences between Immigrants from Micronesia and Subsaharan African communities in the United States are seen in single mother households (6.9% compared to 7.8%, a difference of 13.5%), births to unmarried women (32.9% compared to 36.7%, a difference of 11.5%), and married-couple households (44.9% compared to 41.6%, a difference of 7.9%). Conversely, both communities are more comparable in terms of divorced or separated (12.7% compared to 12.7%, a difference of 0.54%), family households with children (27.2% compared to 27.6%, a difference of 1.2%), and average family size (3.32 compared to 3.25, a difference of 2.2%).

When considering vehicle availability, the most significant differences between Immigrants from Micronesia and Subsaharan African communities in the United States are seen in 4 or more vehicles in household (7.6% compared to 5.7%, a difference of 32.6%), no vehicles in household (10.1% compared to 12.2%, a difference of 21.0%), and 3 or more vehicles in household (20.7% compared to 17.9%, a difference of 16.2%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.1% compared to 87.9%, a difference of 2.5%), 2 or more vehicles in household (55.1% compared to 51.9%, a difference of 6.1%), and 3 or more vehicles in household (20.7% compared to 17.9%, a difference of 16.2%).

When considering education level, the most significant differences between Immigrants from Micronesia and Subsaharan African communities in the United States are seen in master's degree (10.8% compared to 14.2%, a difference of 32.3%), doctorate degree (1.3% compared to 1.8%, a difference of 31.0%), and professional degree (3.2% compared to 4.1%, a difference of 26.6%). Conversely, both communities are more comparable in terms of 2nd grade (97.9% compared to 97.6%, a difference of 0.26%), nursery school (98.0% compared to 97.7%, a difference of 0.27%), and 1st grade (97.9% compared to 97.7%, a difference of 0.27%).

When considering disability, the most significant differences between Immigrants from Micronesia and Subsaharan African communities in the United States are seen in disability age under 5 (1.0% compared to 1.3%, a difference of 30.1%), hearing disability (3.6% compared to 2.9%, a difference of 26.2%), and male disability (12.9% compared to 11.8%, a difference of 9.9%). Conversely, both communities are more comparable in terms of vision disability (2.4% compared to 2.3%, a difference of 0.53%), disability age 35 to 64 (12.9% compared to 12.6%, a difference of 2.2%), and cognitive disability (18.1% compared to 18.5%, a difference of 2.5%).