Immigrants from Peru vs Black/African American Community Comparison

The statistical analysis conducted on geographies consisting of 328,104,530 people shows a poor negative correlation between the proportion of Blacks/African Americans within Immigrant from Peru communities in the United States with a correlation coefficient (R) of -0.174. On average, for every 1% (one percent) increase in Immigrants from Peru within a typical geography, there is a decrease of 0.373% in Blacks/African Americans. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from Peru corresponds to a decrease of 372.9 Blacks/African Americans.

When considering income, the most significant differences between Immigrants from Peru and Black/African American communities in the United States are seen in householder income ages 25 - 44 years ($97,329 compared to $73,370, a difference of 32.7%), median household income ($89,010 compared to $67,573, a difference of 31.7%), and householder income ages 45 - 64 years ($103,173 compared to $78,556, a difference of 31.3%). Conversely, both communities are more comparable in terms of median female earnings ($39,871 compared to $35,315, a difference of 12.9%), wage/income gap (25.1% compared to 21.7%, a difference of 15.6%), and median earnings ($47,025 compared to $40,085, a difference of 17.3%).

When considering poverty, the most significant differences between Immigrants from Peru and Black/African American communities in the United States are seen in child poverty under the age of 5 (16.1% compared to 25.7%, a difference of 59.5%), child poverty among girls under 16 (15.6% compared to 24.7%, a difference of 58.2%), and child poverty under the age of 16 (15.5% compared to 24.4%, a difference of 57.9%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 75 (13.7% compared to 14.6%, a difference of 7.2%), seniors poverty over the age of 65 (12.0% compared to 13.7%, a difference of 14.4%), and married-couple family poverty (5.4% compared to 6.5%, a difference of 19.7%).

When considering unemployment, the most significant differences between Immigrants from Peru and Black/African American communities in the United States are seen in unemployment among women with children under 6 years (7.5% compared to 10.3%, a difference of 36.9%), unemployment among ages 25 to 29 years (6.5% compared to 8.6%, a difference of 31.6%), and unemployment among ages 30 to 34 years (5.5% compared to 7.2%, a difference of 31.3%). Conversely, both communities are more comparable in terms of unemployment among seniors over 65 years (5.4% compared to 5.5%, a difference of 3.1%), unemployment among ages 65 to 74 years (5.6% compared to 5.8%, a difference of 3.8%), and unemployment among ages 60 to 64 years (5.1% compared to 5.3%, a difference of 4.9%).

When considering labor participation, the most significant differences between Immigrants from Peru and Black/African American communities in the United States are seen in in labor force | age 16-19 (34.2% compared to 36.5%, a difference of 6.8%), in labor force | age 45-54 (83.5% compared to 79.3%, a difference of 5.3%), and in labor force | age 20-64 (80.3% compared to 76.8%, a difference of 4.6%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (74.5% compared to 73.9%, a difference of 0.83%), in labor force | age 30-34 (84.7% compared to 82.8%, a difference of 2.3%), and in labor force | age 25-29 (84.7% compared to 82.6%, a difference of 2.6%).

When considering family structure, the most significant differences between Immigrants from Peru and Black/African American communities in the United States are seen in births to unmarried women (31.8% compared to 44.3%, a difference of 39.2%), single mother households (6.7% compared to 9.0%, a difference of 35.1%), and married-couple households (47.3% compared to 38.5%, a difference of 22.9%). Conversely, both communities are more comparable in terms of average family size (3.31 compared to 3.27, a difference of 1.1%), single father households (2.4% compared to 2.4%, a difference of 1.4%), and family households with children (28.9% compared to 26.5%, a difference of 9.3%).

When considering vehicle availability, the most significant differences between Immigrants from Peru and Black/African American communities in the United States are seen in 4 or more vehicles in household (6.4% compared to 5.5%, a difference of 16.3%), 3 or more vehicles in household (19.4% compared to 17.3%, a difference of 11.7%), and 2 or more vehicles in household (54.4% compared to 50.9%, a difference of 6.9%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (88.6% compared to 88.2%, a difference of 0.50%), no vehicles in household (11.5% compared to 11.9%, a difference of 3.2%), and 2 or more vehicles in household (54.4% compared to 50.9%, a difference of 6.9%).

When considering education level, the most significant differences between Immigrants from Peru and Black/African American communities in the United States are seen in professional degree (4.4% compared to 3.4%, a difference of 29.4%), master's degree (14.9% compared to 12.1%, a difference of 23.6%), and bachelor's degree (37.5% compared to 30.9%, a difference of 21.2%). Conversely, both communities are more comparable in terms of high school diploma (87.3% compared to 87.0%, a difference of 0.25%), nursery school (97.5% compared to 97.9%, a difference of 0.42%), and 11th grade (91.0% compared to 91.4%, a difference of 0.42%).

When considering disability, the most significant differences between Immigrants from Peru and Black/African American communities in the United States are seen in disability age 35 to 64 (9.8% compared to 14.7%, a difference of 50.2%), vision disability (2.1% compared to 2.8%, a difference of 33.1%), and ambulatory disability (5.7% compared to 7.5%, a difference of 31.8%). Conversely, both communities are more comparable in terms of disability age over 75 (46.9% compared to 49.5%, a difference of 5.5%), hearing disability (2.7% compared to 3.0%, a difference of 12.7%), and cognitive disability (16.6% compared to 19.0%, a difference of 14.8%).