Subsaharan African vs Immigrants from Moldova Community Comparison

The statistical analysis conducted on geographies consisting of 122,782,127 people shows a mild positive correlation between the proportion of Immigrants from Moldova within Subsaharan African communities in the United States with a correlation coefficient (R) of 0.310. On average, for every 1% (one percent) increase in Sub-Saharan Africans within a typical geography, there is an increase of 0.005% in Immigrants from Moldova. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Sub-Saharan Africans corresponds to an increase of 4.7 Immigrants from Moldova.

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

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

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

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

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

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

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

When considering disability, the most significant differences between Subsaharan African and Immigrants from Moldova communities in the United States are seen in disability age 35 to 64 (12.6% compared to 10.6%, a difference of 19.5%), disability age 5 to 17 (6.2% compared to 5.2%, a difference of 18.1%), and vision disability (2.3% compared to 2.0%, 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 (48.2% compared to 47.4%, a difference of 1.6%), and hearing disability (2.9% compared to 3.0%, a difference of 4.6%).