Subsaharan African vs Immigrants from Micronesia Community Comparison

The statistical analysis conducted on geographies consisting of 60,773,928 people shows a substantial positive correlation between the proportion of Immigrants from Micronesia within Subsaharan African communities in the United States with a correlation coefficient (R) of 0.515. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is an increase of 0.025% in Immigrants from Micronesia. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sub-Saharan Africans corresponds to an increase of 25.1 Immigrants from Micronesia.

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

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

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

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

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

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

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

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