Immigrants from Moldova vs Subsaharan African Community Comparison

The statistical analysis conducted on geographies consisting of 122,780,469 people shows a poor negative correlation between the proportion of Sub-Saharan Africans within Immigrant from Moldova communities in the United States with a correlation coefficient (R) of -0.122. On average, for every 1% (one percent) increase in Immigrants from Moldova within a typical geography, there is a decrease of 0.050% in Sub-Saharan Africans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Moldova corresponds to a decrease of 50.2 Sub-Saharan Africans.

When considering income, the most significant differences between Immigrants from Moldova and Subsaharan African communities in the United States are seen in householder income ages 25 - 44 years ($101,091 compared to $84,235, a difference of 20.0%), householder income ages 45 - 64 years ($107,357 compared to $90,691, a difference of 18.4%), and per capita income ($47,489 compared to $40,152, a difference of 18.3%). Conversely, both communities are more comparable in terms of median female earnings ($42,304 compared to $38,391, a difference of 10.2%), householder income over 65 years ($62,939 compared to $56,615, a difference of 11.2%), and median earnings ($50,274 compared to $44,118, a difference of 14.0%).

When considering poverty, the most significant differences between Immigrants from Moldova and Subsaharan African communities in the United States are seen in child poverty among girls under 16 (13.9% compared to 20.1%, a difference of 44.7%), child poverty under the age of 16 (13.8% compared to 19.9%, a difference of 44.5%), and child poverty under the age of 5 (14.5% compared to 20.8%, a difference of 43.2%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (11.9% compared to 13.2%, a difference of 10.9%), single father poverty (15.2% compared to 16.9%, a difference of 11.3%), and seniors poverty over the age of 65 (10.4% compared to 12.1%, a difference of 16.3%).

When considering unemployment, the most significant differences between Immigrants from Moldova and Subsaharan African communities in the United States are seen in unemployment among women with children under 6 years (6.6% compared to 8.4%, a difference of 27.7%), unemployment among women with children under 18 years (5.0% compared to 6.2%, a difference of 23.1%), and unemployment among ages 35 to 44 years (4.4% compared to 5.3%, a difference of 20.0%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (4.9% compared to 5.2%, a difference of 5.6%), unemployment among ages 65 to 74 years (5.1% compared to 5.4%, a difference of 5.8%), and unemployment among ages 60 to 64 years (4.6% compared to 4.9%, a difference of 6.7%).

When considering labor participation, the most significant differences between Immigrants from Moldova and Subsaharan African communities in the United States are seen in in labor force | age 45-54 (83.7% compared to 82.0%, a difference of 2.1%), in labor force | age 16-19 (37.7% compared to 38.4%, a difference of 2.0%), and in labor force | age 20-64 (80.6% compared to 79.3%, a difference of 1.6%). Conversely, both communities are more comparable in terms of in labor force | age > 16 (66.1% compared to 66.2%, a difference of 0.11%), in labor force | age 30-34 (85.3% compared to 84.5%, a difference of 0.93%), and in labor force | age 25-29 (85.1% compared to 84.3%, a difference of 0.95%).

When considering family structure, the most significant differences between Immigrants from Moldova and Subsaharan African communities in the United States are seen in single mother households (5.6% compared to 7.8%, a difference of 38.3%), births to unmarried women (27.3% compared to 36.7%, a difference of 34.4%), and married-couple households (48.0% compared to 41.6%, a difference of 15.3%). Conversely, both communities are more comparable in terms of family households with children (27.6% compared to 27.6%, a difference of 0.33%), average family size (3.18 compared to 3.25, a difference of 2.3%), and family households (64.4% compared to 62.1%, a difference of 3.8%).

When considering vehicle availability, the most significant differences between Immigrants from Moldova and Subsaharan African communities in the United States are seen in no vehicles in household (9.8% compared to 12.2%, a difference of 24.5%), 2 or more vehicles in household (56.1% compared to 51.9%, a difference of 8.1%), and 3 or more vehicles in household (19.1% compared to 17.9%, a difference of 6.8%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (90.2% compared to 87.9%, a difference of 2.7%), 4 or more vehicles in household (6.0% compared to 5.7%, a difference of 4.4%), and 3 or more vehicles in household (19.1% compared to 17.9%, a difference of 6.8%).

When considering education level, the most significant differences between Immigrants from Moldova and Subsaharan African communities in the United States are seen in professional degree (4.9% compared to 4.1%, a difference of 18.9%), master's degree (16.6% compared to 14.2%, a difference of 16.7%), and bachelor's degree (41.6% compared to 35.8%, a difference of 16.3%). Conversely, both communities are more comparable in terms of nursery school (98.0% compared to 97.7%, a difference of 0.32%), kindergarten (98.0% compared to 97.7%, a difference of 0.32%), and 1st grade (98.0% compared to 97.7%, a difference of 0.32%).

When considering disability, the most significant differences between Immigrants from Moldova and Subsaharan African communities in the United States are seen in disability age 35 to 64 (10.6% compared to 12.6%, a difference of 19.5%), disability age 5 to 17 (5.2% compared to 6.2%, a difference of 18.1%), and vision disability (2.0% compared to 2.3%, a difference of 14.7%). Conversely, both communities are more comparable in terms of self-care disability (2.6% compared to 2.6%, a difference of 0.010%), disability age over 75 (47.4% compared to 48.2%, a difference of 1.6%), and hearing disability (3.0% compared to 2.9%, a difference of 4.6%).